seerr-mcp

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate operation type and idempotency. The description adds a meaningful behavioral directive: the body is opaque and the agent must read the matching GET or /schema endpoint before invoking. It also discloses the exact HTTP endpoint. No contradictions with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The definition is brief, front-loads the purpose, and each line serves a purpose: the HTTP path, the parameter, and the fetch-first instruction. No fluff and easily scannable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool whose only parameter is an opaque body, the description tells the agent what the tool does and how to learn the required fields. The output schema exists, covering response semantics. It could add explicit alternatives or typical auth fields, but it is sufficient for a simple, schema-driven auth endpoint.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single parameter 'body' is completely undocumented in the schema (0% coverage). The description compensates by labeling it as the request payload and instructing the agent to fetch the expected fields from the GET or /schema endpoint. This gives the agent a concrete discovery path, though it doesn't enumerate the fields.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Sign in using a local account.' This clearly distinguishes it from sibling auth tools like create_auth_plex and create_auth_reset_password by scoping it to local accounts. The HTTP path reinforces the specific operation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives context that this tool is for local-account sign-in, which implies when to use it, but it does not explicitly name alternatives or state 'do not use for Plex.' An agent must infer the boundary from the name and sibling list, so guidance is only implied rather than explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate non-read-only, non-destructive, and idempotent behavior. The description adds the specific side effect of clearing the session cookie, which provides additional context beyond the annotations. However, it does not discuss prerequisites like requiring an active session or potential consequences, so it is adequate but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short sentences with no filler. It front-loads the primary action and includes the HTTP endpoint, making it extremely efficient and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple no-parameter logout operation, the description is largely complete. It states the action and the side effect, and the output schema exists to document the response. Minor missing details like authentication requirements are implied and not critical for a logout tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, and the schema coverage is 100% (vacuously). The description adds no parameter-specific details because none exist, and the baseline for zero-parameter tools is 4, as the schema already fully documents the absence of inputs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Sign out') and the specific resource ('session cookie'), with a distinct verb and resource that distinguishes it from sibling auth tools like create_auth_local and create_auth_plex. It is unambiguous and self-explanatory.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use this tool (when the user wants to log out) through its name and action, but it does not explicitly mention alternatives or conditions for choosing this over other auth-related tools. No exclusions are stated, but the purpose is obvious.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already provide readOnlyHint=false, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds that auth is performed via a Plex token, which is a relevant authentication detail, but it does not describe side effects such as session creation or token validation behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is tightly structured: a one-line purpose, the HTTP endpoint, then a single parameter note. Every sentence earns its place, and the most important usage guidance is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single opaque body parameter with an output schema and clear annotations, the description is adequately complete. It tells the agent what the operation does and how to discover the required body fields, though it stops short of explaining response semantics or failure behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the body is an opaque additionalProperties object. The description compensates by labeling body as a 'Request payload' and explicitly directing the agent to consult the matching GET or /schema endpoint for field details, which is unusually helpful for an otherwise undocumented body.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description states a clear, specific action: 'Sign in using a Plex token.' This distinguishes it from sibling auth operations like create_auth_local and create_auth_logout, and the verb/resource combination is immediately actionable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives one useful operational instruction: 'Read the matching GET or the /schema endpoint first to see the fields this resource expects.' However, it does not explicitly state when to choose this tool over alternatives or mention any exclusions or prerequisites beyond reading the schema.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false. The description adds the fact that it sends an email, which is implicit in the name. It does not disclose additional behavioral traits like whether the email contains a link, whether it overwrites existing reset tokens, or any rate limits. It is consistent with annotations but adds minimal extra context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact, starting with a one-sentence purpose, then the HTTP method and path, then a brief argument note. It is efficiently structured and free of filler. It could omit the 'Args:' label for even tighter prose, but overall it is appropriately sized.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has one parameter and an output schema, so the main missing piece is the payload structure, which the description points to. However, it does not clarify when to use this versus create_auth_reset_password_by_guid, nor does it mention whether any prerequisite (e.g., an existing user account) is needed. For a simple action, the gaps are moderate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has a single 'body' parameter with additionalProperties true and zero description coverage. The description compensates by instructing the agent to 'Read the matching GET or the /schema endpoint first to see the fields this resource expects.' This is a useful pointer, though it does not directly describe any fields. Given the opaque schema, this guidance provides meaningful direction.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb and resource: 'Send a reset password email.' This is specific and unambiguous. However, it does not explicitly differentiate from the sibling create_auth_reset_password_by_guid, leaving the agent to infer the distinction from the name alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives like create_auth_reset_password_by_guid. No prerequisites, conditions, or exclusions are provided. The description simply states the action without contextual routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already signal readOnly=false, idempotent=true, and destructive=false. The description adds the HTTP method/endpoint and the instruction to inspect the resource schema, which is useful, but it does not disclose side effects, authorization requirements, or response behavior beyond what annotations and the output schema cover.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded: a one-sentence purpose, the endpoint, then a minimal Args list. There is no filler, and the guidance about reading the schema earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter mutation with an output schema and annotations covering idempotency and destructiveness, the description is largely complete. The main missing piece is clarification of how this tool relates to create_auth_reset_password, but the body-discovery instruction covers the opaque payload adequately.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description compensates by labeling guid as a path parameter and body as a request payload, and by directing the caller to the matching GET or /schema endpoint for the expected fields. It does not enumerate the body fields, but it provides a concrete discovery mechanism for an otherwise opaque additionalProperties object.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The opening sentence 'Reset the password for a user' uses a specific verb and resource, and the endpoint path clarifies the target. However, it does not distinguish this tool from the sibling create_auth_reset_password, so it is clear but not fully differentiated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives actionable context: the guid is a path parameter and the body fields should be discovered by reading the matching GET or /schema endpoint. It does not, however, state when to prefer this tool over create_auth_reset_password or when not to use it, leaving selection between siblings to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover idempotency (true) and destructive (false), but the description adds no behavioral context. It doesn't mention side effects, auth requirements, or response behavior. The pointer to GET /schema is about parameters, not behavior. No contradiction, but minimal added value.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Efficient and front-loaded: starts with 'Create new issue' followed by the API endpoint and a concise parameter hint. No fluff, though it could afford a bit more detail without becoming verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a creation tool with a generic body and an output schema present, the description fails to mention the return value or any prerequisites. Relying on the agent to fetch the schema independently is a significant gap, making the tool incomplete for safe and correct use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With a single body parameter and 0% schema coverage, the description correctly identifies it as a request payload and directs to GET or /schema for field details. This gives agents a workaround but doesn't provide concrete field names or types, leaving the actual semantics to be discovered elsewhere.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a clear verb+resource ('Create new issue') and is easily distinguished from other write operations by its name. While it doesn't explicitly differentiate from sibling create_issue_* variants, the purpose is unambiguous for an agent.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives (e.g., create_issue_by_issue_id_by_status or create_issue_by_issue_id_comment). The only instruction is to read the GET or /schema endpoint for body structure, which is not about selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate a non-read-only mutation with idempotentHint=true and destructiveHint=false. The description aligns with these and adds the specific effect: changing an issue's status. It does not disclose side effects, allowed status transitions, or auth requirements, but the annotation coverage lowers the burden.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded with the core action. The endpoint and Args section add useful context without unnecessary prose. Slightly redundant with the schema, but not padded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple two-parameter mutation with an output schema and informative annotations, the description is nearly complete. The main gap is the lack of accepted status values, but the definition is adequate for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It provides basic meaning for both parameters: issue_id identifies the issue and status is the new status. This is minimal but sufficient for simple use; it does not specify valid status values or formats.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action and resource: 'Update an issue's status.' This clearly distinguishes it from sibling tools like create_issue, delete_issue_by_issue_id, and create_issue_by_issue_id_comment. The scope is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use the tool: when updating an issue's status. However, it does not explicitly mention alternatives, exclusions, or prerequisites beyond the immediate action. It gives enough context for straightforward use but no richer routing guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate readOnlyHint=false and idempotentHint=true, so the write nature is covered. The description adds the HTTP path and tells the agent to consult the GET or /schema endpoint before sending the body, which is useful behavioral context. It does not disclose auth requirements, response behavior, or rate limits, but there is no contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded: a one-sentence purpose, the endpoint, and a two-line argument list. There is no filler, though it could have been slightly more informative without losing structure.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a create tool with an open body and an output schema, the description provides the minimal path and a schema-discovery instruction. It lacks context on when to use this versus update/delete comment tools and does not mention authentication or side effects beyond creation, but the output schema covers return values. Overall adequate but not comprehensive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description compensates by labeling issue_id as a path parameter and body as the request payload, and it explicitly directs the agent to the matching GET or /schema endpoint to discover expected body fields. Since body is additionalProperties:true, that pointer is essential. It does not enumerate concrete body fields, but for an open body this is reasonable guidance.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('Create a comment') and includes the POST endpoint, making it clear this tool adds a comment to an issue. It does not explicitly contrast with siblings like update_issue_comment_by_comment_id or delete_issue_comment_by_comment_id, but the verb and resource are unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives. The instruction to read the matching GET or /schema endpoint is about constructing the body, not about selecting this tool. An agent must infer usage from the tool name and endpoint.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already convey that this is a non-read-only, idempotent, non-destructive operation. The description adds the HTTP method/path and tells the agent to consult GET or /schema before sending a body, but it does not describe status transition semantics, side effects, or permission needs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded: clear purpose sentence, endpoint, then parameter list. No filler or redundant content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Output schema and annotations cover return values and safety behavior, and the body-discovery instruction is helpful. Still, an agent must look elsewhere to learn valid status values, and there is no mention of how this relates to sibling status-update tools. Adequate but with clear gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description must compensate. It labels all three parameters and usefully instructs the agent to read the matching GET or /schema endpoint for the body payload. However, 'media_id: Media ID' and 'status: New status' add little over the property names, and valid status values are not provided.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The opening sentence 'Update media status' names a specific verb and resource, and the embedded endpoint clarifies the exact target. It is clearly distinct from sibling status tools that operate on issues or requests.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by 'Update media status' and the media_id/status parameters, but there is no explicit guidance on when to choose this tool over alternatives. The body-discovery note is operational rather than a selection rule, and no sibling status-update tool is mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description adds little behavioral context beyond the annotations and the obvious POST semantics. It does not mention auth requirements, side effects, duplicate-request behavior, or what a successful creation returns; the idempotentHint is already supplied by annotations. There is no contradiction between the description and annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded, stating the action and endpoint before the payload guidance. It contains no filler or redundant explanation. The 'Args' block repeats some schema information, but the overall size is appropriate.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a create operation with an opaque body object, the description is not fully self-contained; it relies on the agent to call /schema or a matching GET endpoint to understand the payload. It also omits usage context and side-effect information, though the output schema covers return value shape. The explicit instruction to read /schema is a partial mitigation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema coverage, the description must carry the burden for parameter meaning. It identifies body as the request payload and instructs the agent to consult the matching GET or /schema endpoint for expected fields, which is useful process guidance. However, it does not describe the actual structure or constraints of the body object, so it only partially compensates for the schema gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and resource ('Create new request') and gives the exact HTTP endpoint POST /api/v1/request. It clearly indicates this creates a top-level request resource rather than updating an existing one, though it does not explicitly contrast with create_request_by_request_id_by_status. The core action and resource are unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus siblings like create_request_by_request_id_by_status, update_request_by_request_id, or the relevant GET/list tools. The only hint is 'Read the matching GET or /schema endpoint first,' which is a prerequisite rather than usage context or an exclusion. Agents are left to infer the right call from naming conventions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description adds no behavioral context beyond what the annotations already convey: readOnlyHint=false indicates mutation, destructiveHint=false indicates it is not destructive, and idempotentHint=true is not echoed or explained. It does not disclose consequences, required permissions, valid status values, or response behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loads the core action before the endpoint and arguments. The Args list is somewhat redundant with the input schema, but the redundancy is minimal and improves clarity rather than bloating the text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple two-parameter mutation with an output schema, the endpoint and parameter roles are present and sufficient for basic invocation. However, it omits valid status options, usage conditions, and any guidance on how this relates to sibling status-update or request-update tools, leaving some practical gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description carries the full burden for parameter meaning. The Args section compensates by labeling request_id as 'Request ID' and status as 'New status', adding semantic value the schema's generic titles do not provide. It stops short of enumerating possible status values, but the two required parameters are adequately explained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action, 'Update a request's status', along with the exact endpoint pattern, so the tool's purpose is clear. It does not explicitly differentiate among closely related siblings like update_request_by_request_id or create_issue_by_issue_id_by_status, so it falls short of a top score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The intended use is implied by 'Update a request's status' and the endpoint structure, but there are no explicit when-to-use instructions, prerequisite conditions, or mentions of alternative tools. It provides clear context without exclusions, but leaves routing decisions mostly to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already establish that this is a non-read-only, idempotent mutation that is not destructive. The description adds the HTTP method, endpoint, and the 'failed request' precondition, but does not disclose side effects, permission requirements, or what happens if the request is not in a retryable state.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded with the core action. The Args section is redundant with the schema, but the overall size is appropriate and there is no unnecessary filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given a single parameter, an output schema, and annotations, the description is minimally sufficient, but it lacks guidance about when retrying is appropriate and how it relates to other request lifecycle tools. An agent could still call it correctly for a failed request, but may choose it incorrectly in edge cases.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description only repeats the schema's parameter title ('Request ID') without adding extra meaning. It does not explain what the request_id refers to, where to obtain it, or any format or selection considerations.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Retry failed request') and the resource (a request identified by request_id), and the endpoint confirms the target. It does not explicitly differentiate itself from sibling tools, but 'retry' is a distinct enough operation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'failed request' implies this tool is for retrying requests that have failed, but it does not explain when to choose this over alternatives like create_request_by_request_id_by_status or update_request_by_request_id. No exclusions or explicit when-not-to-use guidance is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate idempotentHint=true and destructiveHint=false, and the description adds little beyond the literal action of flushing. It does not disclose side effects, what happens to cached data, authentication requirements, or any operational consequences.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded with the key purpose. The endpoint and Args lines are somewhat redundant with the schema and tool name, but the overall structure is compact and easy to scan.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter tool with an output schema, this is minimally acceptable. However, it lacks guidance on when to flush a cache and what effect the operation has, leaving the agent to infer important behavioral context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description needed to compensate, but it only says "cache_id: Path parameter." This adds no real meaning beyond the schema's property name and title, leaving the semantics of the cache_id value unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: "Flush a specific cache." This clearly identifies the operation and distinguishes it from the many other settings-related sibling tools, though it does not explicitly contrast itself with alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to use this tool versus alternatives, conditions that require flushing a cache, or any prerequisites. The description merely restates the action without explaining context or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already establish that the operation is a non-read, non-destructive, idempotent mutation. The description adds that it affects all sliders rather than one, which is useful, but it does not disclose overwrite semantics, authorization requirements, or side effects beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three short, purposeful lines: purpose, endpoint, and parameter guidance. It is front-loaded with the most important scoping phrase and contains no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Between the annotations, output schema, explicit endpoint, and pointer to GET/schema, the agent has enough to invoke the tool. It could be more complete by stating that all sliders are replaced/overwritten and whether admin rights are required, but it is substantially adequate for an open-bodied settings update.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage and an additionalProperties body, the description compensates by instructing the agent to consult the matching GET or /schema endpoint for expected fields. It labels body as 'Request payload,' giving a minimal but actionable meaning beyond the raw schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'Batch update all sliders,' naming a specific action and resource. This clearly distinguishes it from sibling tools like update_settings_discover_by_slider_id and create_settings_discover_add, which operate on individual sliders or add a slider.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The scope is clear: this tool is for updating all sliders at once. However, it does not explicitly mention or contrast alternatives such as update_settings_discover_by_slider_id for single-slider updates, so when-to-use guidance is implied rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already establish that the operation is mutating, idempotent, and non-destructive. The description adds the HTTP method and the need to inspect GET/schema for expected fields, which is useful, but it does not disclose side effects, validation behavior, or failure modes.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and well-structured: purpose first, then endpoint, then args. Every sentence earns its place, with no filler or repetition of schema details.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a low-complexity create endpoint with one open body parameter, an output schema, and safety annotations, the description covers the essential invocation steps and points to the source of truth for the body schema. It loses a point because 'the matching GET' is somewhat vague and no distinction is made from the similar sibling create_settings_discover.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the only parameter is an opaque body object. The description compensates by identifying body as the request payload and directing the agent to the matching GET or /schema endpoint to learn the expected fields. It does not enumerate fields, but for an open object this is a practical and meaningful pointer.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Add') and the resource ('a new slider'), and includes the exact endpoint. However, it does not differentiate from the sibling create_settings_discover, so an agent may be unsure which create-like tool to choose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use guidance or comparison with alternatives such as create_settings_discover or update_settings_discover_by_slider_id. The instruction to read the matching GET or /schema endpoint is a prerequisite, not a selection rule.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate this is not read-only, is idempotent, and is not destructive. The description adds no behavioral detail beyond the word 'initialize' and the POST method—it does not disclose what changes occur, whether authentication is required, or what side effects an agent should expect.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short and front-loaded: 'Initialize application.' followed by the endpoint. No redundant fluff, but the brevity leaves out useful context that could have been added without sacrificing conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an initialization operation with no parameters, the description is sparse. An agent would not know what 'initialize' actually does, when it is appropriate to call it, or what the output represents. The output schema exists, but the missing purpose and usage context makes this incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and 100% schema description coverage, so the baseline is 4. There is nothing for the description to add about parameter meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the action 'Initialize application' with a clear resource, and the accompanying POST endpoint makes the operation concrete. It distinguishes itself from the many other create_settings_* siblings by focusing on initialization, though it does not elaborate on what initialization entails.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to call this tool, whether it should be used only for first-time setup, or what prerequisites must exist. No alternatives or exclusions are mentioned despite the large sibling toolset.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover read-only and idempotency, and the description adds no behavioral context beyond repeating the endpoint and path parameter. It does not mention what happens to a running job, whether cancellation is reversible, or whether there are any side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The core purpose is front-loaded in a single clear sentence. The additional endpoint and Args lines are mostly redundant with the schema, but the overall length is minimal and scannable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter endpoint with an output schema, the description is minimally sufficient to invoke it. However, it omits context such as when cancellation is valid, whether the job must be currently running, and any expected failure modes.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema description coverage is 0%, so the description must compensate. It does add one useful semantic detail by labeling job_id as a path parameter, but it does not provide any format, source, or relationship to other job-related endpoints.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Cancel') and resource ('a specific job'), making the operation unmistakable. The sibling set includes run and schedule variants for jobs, and 'cancel' clearly distinguishes this tool from them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given for when to use this tool versus alternatives such as run or schedule. The description simply says what it does, without explaining when cancellation is appropriate or any prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare idempotentHint=true and destructiveHint=false, and the description does not contradict them. The description adds the HTTP method and path, but does not disclose what 'invoke' means in terms of side effects (e.g., does it block, return immediately, or require server readiness). With annotations covering the safety profile, a 3 is reasonable—it adds a little context but not rich behavioral detail.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is appropriately terse, containing only the action, the endpoint, and the parameter note. Every sentence serves a purpose, and it is front-loaded with the core action. The minor redundancy of stating 'Path parameter' when the endpoint already shows it in braces is acceptable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool is simple (one required parameter, no nested objects, and an output schema exists to communicate return values), the description is nearly complete. It explains the core behavior and the endpoint, and the output schema handles the response. Missing details like 'how to get job_id' are minor for such a straightforward tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has zero description coverage, so the description must compensate. It only adds that job_id is a 'Path parameter'—which is marginally useful but does not explain what a job_id looks like or how to obtain valid values. The description does not clarify the parameter's purpose beyond its type, leaving the agent to infer from the tool name.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Invoke') and a clear resource ('a specific job'), and the provided endpoint makes the action unambiguous. It naturally distinguishes from sibling tools like create_settings_jobs_by_job_id_cancel and create_settings_jobs_by_job_id_schedule by emphasizing the 'run' action, even though it doesn't explicitly name those alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives (e.g., when to run vs. schedule or cancel a job). It only states what the tool does, not the context in which it should be selected, nor any prerequisites or side effects.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already convey idempotency, non-destructiveness, and non-read-only status. The description adds 'Modify job schedule' and the HTTP method, but does not disclose side effects, permissions, or what happens to the schedule on repeated calls. It meets the lower bar set by annotations but adds limited behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and well-structured: a one-line purpose statement, the endpoint, and two short parameter notes. Every sentence contributes value, and the most important information is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with annotations and an output schema, the description is largely complete: it states the endpoint, maps both parameters, and tells the agent how to discover the opaque body schema. It falls short only in not distinguishing from close siblings or noting any side effects, but those are secondary given the existing structured metadata.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the body parameter is an open object with additionalProperties. The description compensates by identifying job_id as a path parameter and explicitly directing the agent to the matching GET or /schema endpoint to learn the body fields. This is essential semantic guidance beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool modifies a job schedule, which is a specific action on a specific resource. It does not explicitly contrast with sibling tools like create_settings_jobs_by_job_id_cancel or run, but the resource and verb are unambiguous enough for an agent to understand its role.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance about when to use this tool versus the cancel/run siblings. The only instruction is to read the matching GET or /schema endpoint for body fields, which is parameter discovery rather than usage selection. No conditions, exclusions, or alternatives are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate the mutation is idempotent and non-destructive; the description adds that it updates main settings and exposes the POST endpoint. It does not describe side effects, scope (global vs per-user), or permissions, but it does not contradict the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded with the core action, followed by the endpoint and a single parameter note. Every sentence carries useful information with no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The output schema exists, so return-value documentation is not required, and the schema-discovery instruction fills the biggest gap around the opaque body. However, it omits whether the update is partial or full replacement and does not mention any required authorization, which matters for a global settings mutation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema coverage and an opaque body object, the description meaningfully compensates by identifying body as the request payload and directing the agent to read the matching GET or /schema endpoint for the expected fields. It does not enumerate fields, but it prevents blind guessing.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('Update') and resource ('main settings'), so an agent knows what the tool does despite the 'create_' name. It does not explicitly differentiate from sibling tools like list_settings_main or create_settings_main_regenerate, but the verb and resource are enough for basic disambiguation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The instruction to 'Read the matching GET or the /schema endpoint first' gives a clear precondition for constructing the request. However, it does not explicitly state when to prefer this tool over related siblings or when not to use it, leaving usage context mostly implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already signal non-read-only and idempotent behavior. The description adds that a new API key is produced, but it does not state that the old key is invalidated or that this is a rotation with security implications; the word 'Get' also downplays the side effect.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, front-loaded with the purpose and including the endpoint. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter operation with an output schema and annotations, the description is nearly sufficient. It could mention old-key invalidation, but the core call semantics are present.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and the schema is fully self-describing, so no parameter documentation is required. Baseline 4 applies because the description need not compensate for any parameter gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a concrete action and resource: returns main settings after generating a fresh API key and cites the POST endpoint. The verb 'Get' is slightly misleading for a regeneration operation, and the description does not explicitly differentiate from list_settings_main beyond the key-generation aspect.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to invoke this operation versus alternatives such as list_settings_main for viewing settings or create_settings_main for updating settings. The intended trigger—rotating/regenerating the API key—is only implicit in the tool name and endpoint, not in the description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate this is a non-read-only, idempotent, non-destructive operation. The description adds useful context by revealing that the body fields are not statically defined and must be discovered via GET/schema. It does not explain replacement vs merge semantics or auth requirements, but the annotations carry the main safety burden.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is succinct and well-structured: the action is front-loaded, the HTTP endpoint is included, and the single parameter has a clear discovery instruction. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single open-bodied parameter with an existing output schema, the description supplies the route, the operation, and the critical instruction to retrieve the body schema. It does not resolve the create/update naming ambiguity or mention the _test sibling, but those are routing concerns rather than blockers to correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It only describes 'body' as a request payload, which is largely generic, but it does provide the important pointer to the matching GET/schema endpoint to learn the actual expected fields. This is a pragmatic workaround rather than full parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The first sentence clearly identifies a specific action, 'Update', and a specific resource, 'Discord notification settings'. However, the tool name uses 'create_' while the description says 'Update', which creates mild ambiguity, and the description does not explicitly distinguish itself from the sibling create_settings_notifications_discord_test tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear contextual guidance: read the matching GET or /schema endpoint first to discover the expected body fields. It does not explicitly state when not to use this tool or mention alternatives like the _test sibling, so it falls short of full exclusion guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already convey non-destructive and idempotent behavior, but the description does not disclose that this likely sends a test message to Discord or that it requires configured Discord settings. 'Test' implies an action but does not explain the side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short, front-loaded with the purpose, and clearly separates the endpoint and body guidance. It earns its place but sacrifices behavioral detail that would make it more useful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with an open request body and many closely related siblings, the description leaves too much to inference. It does not explain the actual test behavior, prerequisites, or when to use it, leaving the agent dependent on external schema endpoints and sibling names.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema coverage and an open body object, the description only labels body as 'Request payload' and points to the GET/schema endpoint for fields. It adds a discovery hint but fails to name or explain any expected body fields, so it does not sufficiently compensate for the missing schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'Test Discord settings' and the explicit endpoint, giving a specific verb and resource. It distinguishes the tool from siblings like create_settings_notifications_discord by the test action, though it does not explain what testing entails.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use or alternatives are provided. The only guidance, 'Read the matching GET or the /schema endpoint first,' is about discovering request fields, not about when this tool should be selected over the many sibling test and settings tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already identify this as a mutating, idempotent, non-destructive operation, and the description's 'Update' is consistent with readOnlyHint=false. It adds the prerequisite of discovering fields via GET/schema, but it does not describe whether the update merges or replaces existing settings, or any other behavioral consequences beyond what annotations provide.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded, with each line serving a purpose: the action, the endpoint, and the critical instruction to consult GET/schema. It is slightly terse but not padded, so it earns a strong score without being excessive.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with a single opaque body parameter and an output schema, the description supplies the key missing context: the exact endpoint and a reliable way to discover the expected payload shape. It does not explicitly exclude the sibling email_test tool or clarify update/replace semantics, but it is reasonably complete for this API style.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description carries a heavy burden for explaining the single body parameter. It adds that 'body' is the request payload and points the agent to the matching GET or /schema endpoint to discover fields, which is useful but externalizes the needed field semantics rather than providing them.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Update') and the resource ('email notification settings'), so an agent knows what the tool operates on. It does not explicitly differentiate itself from the sibling create_settings_notifications_email_test, and the tool name says 'create' while the description says 'update,' which creates minor ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the use case: updating the email notification configuration, and it instructs the agent to consult the matching GET or /schema endpoint before supplying a body. However, it does not explicitly state when to use this tool over the sibling test tools or otherwise provide when-not guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations indicate idempotentHint=true and readOnlyHint=false, but the description adds no behavioral context beyond 'test'. It does not state side effects (e.g., sending an email) or how the test is performed. With no annotation coverage for behavioral details, the description carries the full burden but fails to disclose anything significant. No contradiction with annotations, but very little value added.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise, consisting of only three lines: the summary, the endpoint, and the arg explanation. It is well-structured and front-loads the key purpose. Every sentence adds value, and there is no fluff. It could be slightly more detailed, but it is efficiently formatted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that the tool has a single open object parameter and an output schema exists, the description does not need to describe return values. However, it omits critical details such as what a 'test' does (e.g., sends a test email) and any side effects. The instruction to check the GET/schema endpoint is helpful but leaves the agent without a full understanding of the tool's behavior and implications. The description is too sparse for a mutation-like action that may trigger external side effects.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema for 'body' is an open object with 0% description coverage, making it completely uninformative. The description explicitly instructs the agent to read the matching GET or /schema endpoint to discover expected fields, which actively compensates for the schema gap. This directive provides meaningful guidance and helps the agent construct a valid payload, earning a high score despite not listing fields directly.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Test email settings' which is a clear verb+resource indicating the tool's purpose. It distinguishes from sibling *_test tools by specifying 'email' rather than discord, slack, etc. However, it does not elaborate on what 'test' entails (e.g., sending a test email), so it is clear but not fully specific.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It does not mention that this is for verifying email configuration, nor does it contrast with the many other notification test tools. There is no conditional logic or prerequisite information, leaving the agent to infer usage solely from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover idempotency and non-destructiveness, so the description only needs to add context. It adds the HTTP method and endpoint and the need to pre-fetch the schema, but it does not describe authentication requirements, whether settings are overwritten wholesale, or side effects. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded, with the action and endpoint in the first line and a single useful instruction about the body. 'Args:' repeats schema info but is not harmful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter settings update with an output schema and annotations, the description is mostly sufficient. The gap is selection guidance: it never acknowledges the sibling _test endpoint or clarifies the create/update naming mismatch, which an agent may need to choose correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the body is an unconstrained additionalProperties object. The description compensates slightly by directing the agent to the matching GET or /schema endpoint for expected fields, but it does not explain the body's structure or any defaults/required nested fields.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and resource ('Update Gotify notification settings') and gives the exact HTTP endpoint. However, it does not explicitly differentiate from sibling tools like list_settings_notifications_gotify or create_settings_notifications_gotify_test, and the tool name says 'create' while the description says 'update.'

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It instructs the agent to read the matching GET or /schema endpoint before supplying the body, which is a useful precondition. It does not say when to prefer this tool over alternatives (e.g., the _test endpoint) or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations indicate idempotentHint=true, destructiveHint=false, readOnlyHint=false, but the description adds no additional behavioral detail. It does not state that the tool sends a test notification, whether it validates connectivity, what errors might occur, or if it requires prior configured gotify settings. The only added context is pointing to the GET/schema endpoint for payload fields, but that is parameter-related, not behavioral. With limited annotations, the description carries a burden it fails to meet.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is minimal and front-loads the purpose ('Test Gotify settings.') followed by the endpoint and a brief arg note. It is well-structured and concise, with no unnecessary sentences. The length is appropriate for a tool whose complexity is low, though it leaves gaps in behavior and usage.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has an output schema (though not shown) and a single body parameter, the description still fails to clarify the tool's behavior (e.g., does it send a test notification and return a status?), any prerequisites (e.g., gotify must be configured), or the format of the response. The note to read the GET/schema is helpful for parameters but does not cover the overall operation. The description is incomplete for an agent to reliably decide when and how to invoke it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema defines 'body' as an open object (additionalProperties: true) with no property definitions, and schema coverage is 0%. The description adds value by instructing to 'Read the matching GET or the /schema endpoint first to see the fields this resource expects.' This tells an agent where to find the expected structure, compensating for the empty schema. However, it does not describe any specific fields, so it only partially compensates.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the resource ('Gotify settings') and the action ('Test'), distinguishing it from sibling test tools by naming the service. However, it does not explicitly say what 'test' entails (e.g., sending a test notification), relying on the HTTP method and endpoint context. This is clear enough for an agent to infer the purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no explicit guidance on when to use this tool versus similar test tools for other services (e.g., create_settings_notifications_discord_test) or versus create_settings_notifications_gotify (which likely saves settings). It only states 'Test Gotify settings,' which duplicates the name. No context, prerequisites, or alternatives are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false. The description adds only 'Update' and the endpoint, which is consistent with idempotency but adds no further behavioral context such as whether this is a full replacement or partial update, or what happens on success. It does not disclose side effects beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is brief and front-loaded with the purpose and endpoint. The additional note about reading the schema is useful and directly placed. No wasted words, though it could be slightly more structured with explicit sections, but it is efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description points to the schema for body fields, which is a good start. However, it does not explain the update semantics (e.g., full vs partial update), or what the response looks like. Given the output schema exists, the description does not need to detail return values, but the lack of guidance on how the body should be constructed (beyond referencing schema) leaves some gaps. The name/verb mismatch adds to incompleteness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is one parameter 'body' with schema coverage 0%, so the description must compensate. It instructs to read the matching GET or /schema endpoint to see expected fields, which is helpful and directs the agent to the right source. However, it does not provide any actual field names or structure, so the agent still needs to fetch the schema to proceed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Update LunaSea notification settings') and specifies the resource (LunaSea notifications). It does not explicitly contrast with sibling notification tools, but the resource is clear. The verb 'Update' mismatches the tool name 'create', which causes some ambiguity, but the description itself is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance on when to use this tool versus other notification settings tools (e.g., Discord, Email). It only suggests reading the matching GET or /schema endpoint, which is about how to call it, not when to choose it. With many siblings, explicit selection criteria are missing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare this is not read-only, is idempotent, and is non-destructive, but the description adds no behavioral detail about what a test call does. It does not say whether this sends an external notification, merely validates configuration, or what failure modes exist, which is significant for a 'test' action.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded, with the purpose stated before the endpoint and args. The 'body: Request payload' line adds little beyond the schema, but the overall size and structure are appropriate and free of filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter open-body action with an output schema and safety annotations, the description provides the key invocation hint: read the matching GET or /schema endpoint for expected fields. However, it leaves unclear what the test action does, what a successful result means, and how to distinguish this from sibling test endpoints, so completeness is only minimal.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single body parameter is an open object with no schema field descriptions, so the description must compensate. 'Request payload' is essentially tautological, but the explicit pointer to the matching GET or /schema endpoint gives the agent a concrete way to discover the expected fields.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description begins with 'Test LunaSea settings,' which names a specific action and resource, and the explicit POST path confirms this is a test endpoint for LunaSea notifications. It does not, however, explain what 'test' actually does (e.g., send a sample notification), so some meaning is carried by the tool name and the long list of provider-specific sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to use this tool instead of sibling test endpoints like create_settings_notifications_discord_test or the non-test create_settings_notifications_lunasea. The only usage instruction, 'Read the matching GET or the /schema endpoint first,' addresses how to construct the body, not when to select this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already establish that the call is not read-only, not destructive, and idempotent. The description adds that this is a POST request and warns that the body fields must be discovered from the GET/schema endpoint, but it does not disclose side effects, authorization needs, or response behavior. There is no contradiction with the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three short, front-loaded lines with no filler. The endpoint line and the Args explanation are purposeful and directly actionable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an opaque-body settings-update tool with an output schema and safety annotations, the pointer to the GET/schema endpoint supplies the key missing context. It could name the exact sibling GET tool explicitly, but 'the matching GET' is discoverable from the sibling list.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides only a bare 'body' object with additionalProperties, and schema description coverage is 0%. The description compensates by labeling body as the request payload and telling the agent to consult the matching GET or /schema endpoint to learn the expected fields, which is essential for an opaque-body parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The first sentence states a specific verb ('Update') and resource ('Pushbullet notification settings'), which distinguishes this tool from the list, test, and other provider variants. The slight mismatch between the tool name 'create_' and the description verb 'Update' prevents a perfect score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use the tool: to update Pushbullet notification settings, and it instructs reading the matching GET or /schema endpoint first. It does not explicitly name alternatives such as list_settings_notifications_pushbullet for reading current settings or the _test sibling for testing the integration.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations disclose idempotent, non-destructive, not read-only. The description adds only the HTTP method and the instruction to read the schema, but does not state the observable behavior, e.g., that this sends a real test notification or what side effects (if any) occur. With readOnlyHint false, the agent is left to guess whether this mutates anything.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact, starts with the purpose, and uses a clear args block. It avoids unnecessary repetition and is easy to scan. It meets the ideal for a simple test endpoint.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple, has an output schema, and the description points to the source of truth for the open body. However, it omits contextual details like whether a configured Pushbullet account is required or whether the test actually sends a notification, which may leave an agent uncertain about side effects. For a test action, mentioning the expected effect would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single 'body' parameter is an open object with zero schema description coverage. The description compensates by explicitly stating that the body is a request payload and pointing to the matching GET or /schema endpoint to discover expected fields. This is essential given the schema gives no field names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the action clearly: 'Test Pushbullet settings' immediately. It names the resource and the test action, distinguishing it from sibling tools like create_settings_notifications_pushbullet or list_settings_notifications_pushbullet without needing to inspect schemas. However, it is terse and doesn't elaborate on what 'testing' entails, such as sending a notification.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool instead of the update/settings variants or other test tools. The description simply states the action; it does not mention prerequisites (e.g., configured Pushbullet settings) or alternatives. The sibling list is large but the description does not explicitly route the agent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare idempotentHint=true and destructiveHint=false. The description adds 'Update' which is consistent with a write operation. It does not disclose additional behavior such as partial updates, validation errors, or effects on existing settings. With annotations covering the safety profile, the description adds minimal extra behavioral context, so a 3 is appropriate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise: a one-sentence purpose, the endpoint, and one clear argument with usage hint. It is front-loaded with the purpose. Including the endpoint is slightly redundant with the tool name but still harmless. No unnecessary fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given there is an output schema (not shown but indicated) and this is a settings update with a free-form body, the description provides the essential workflow: read the schema first, then send the body. It omits authentication and error details, but these are likely standard across the API. The guidance to read the matching GET/schema makes it complete enough for safe invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is only one parameter 'body' (a free-form object) with 0% schema coverage. The description compensates by instructing to 'Read the matching GET or the /schema endpoint first' to discover expected fields. Without this, the agent would have no way to construct a valid payload. This direct pointer to external schema documentation adds significant value beyond the schema itself.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Update Pushover notification settings.' with a specific verb and resource, and includes the endpoint. It distinguishes itself from siblings like create_settings_notifications_discord by naming the service explicitly. However, it doesn't elaborate on what 'Pushover settings' entails beyond the name, so it falls short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly instructs the agent to 'Read the matching GET or the /schema endpoint first to see the fields this resource expects.' This is critical guidance for using the free-form body parameter. It implies when to use this tool (to configure Pushover) by virtue of the name, but doesn't discuss alternatives or exclusions, so not a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already provide idempotentHint=true and destructiveHint=false, and the description does not contradict them. However, the description does not disclose that this likely sends an actual test Pushover notification, requires configured Pushover settings, or what the response indicates. It adds a prerequisite instruction but not meaningful side-effect transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded, with the action and endpoint in the first two lines and only one additional instruction. It contains no filler, though the 'Args' line adds little semantic value beyond the schema pointer.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter POST with an output schema and safety annotations, the description covers the essential mechanics by pointing to the schema source. It remains incomplete about the behavioral outcome, such as whether a real notification is sent or what a successful test means, and it lacks alternative-selection guidance. Adequate but with clear gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the single body parameter is an opaque object with additionalProperties=true. The description says 'body: Request payload,' which mostly restates the schema, but it does instruct the agent to read the matching GET or /schema endpoint first, which is a genuinely useful workaround. It still provides no actual field names, formats, or examples.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'Test Pushover settings.' and includes the exact POST path, clearly identifying the operation and resource. It is distinct from sibling tools like create_settings_notifications_pushover by the explicit 'test' action, though it does not specify what testing entails.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The only explicit guidance is to read the matching GET or /schema endpoint before supplying the body, which is a useful prerequisite but not a selection rule. It does not state when to prefer this over sibling notification tools or what conditions make it appropriate. The intended use is implied by the word 'Test' and the Pushover resource name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already communicate that the tool is mutating, idempotent, and non-destructive. The description adds useful context about the body being dynamic and requiring a preliminary GET/schema lookup, but it does not disclose side effects or other operation details beyond that. This is acceptable given the annotation coverage but not especially rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded: purpose first, then the endpoint, then the argument guidance. Every line earns its place and there is no redundant filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a settings-update tool with one opaque body parameter, the description provides the essential discovery step via GET/schema. Annotations and the output schema cover idempotency and return behavior. It is slightly light on broader context like auth or permissions, but it is complete enough for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema only defines 'body' as an open object with additionalProperties true and 0% field coverage. The description compensates by explaining that body is the request payload and instructing the agent to read the matching GET or /schema endpoint to discover expected fields. This is helpful procedural guidance, though it does not enumerate any fields.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Update') and resource ('Slack notification settings'), which distinguishes it from list/test siblings such as list_settings_notifications_slack and create_settings_notifications_slack_test. Even though the tool name uses 'create', the description clarifies the actual operation is an update, so an agent knows what the tool does.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It provides a clear use case: update Slack notification settings. It also gives a concrete precondition by telling the agent to read the matching GET or /schema endpoint first. It does not explicitly contrast with sibling test/list tools, so it falls short of full alternative routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=false, destructiveHint=false, and idempotentHint=true, meaning the tool mutates but is safe and idempotent. The description does not add any behavioral context beyond that; it does not explain what the test does (e.g., sends a test message to Slack) or what side effects occur. Since annotations carry the safety profile, the description should add value by describing the action, but it does not.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short and to the point, including the endpoint and a needed instruction about the body parameter. Every sentence earns its place; there is no wasted text. Structure is clean and front-loaded with the core purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that output schema exists and the complexity is low (one parameter), the description should explain what the test does, what a successful test looks like, and whether any configuration is needed first. It only says 'Test Slack settings' and gives a body hint. This leaves the agent uncertain about the expected outcome and prerequisites, making it incomplete for a test action.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and there is only one parameter: body, which is an open object (additionalProperties: true). The description tells the agent to 'Read the matching GET or the /schema endpoint first', which is a helpful pointer to discover the expected fields. This compensates somewhat for the lack of schema details, but it does not actually describe what the body is for (e.g., the Slack webhook URL or test message content). It is a minimal but non-zero contribution.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Test Slack settings.' which is a clear verb (test) and resource (Slack settings). It also includes the exact endpoint. However, it does not differentiate from many sibling test tools (e.g., discord, email, gotify) except by the name, but the name itself is explicit. The purpose is understandable but could be more specific about what 'test' entails (e.g., send a test notification).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. It does not mention that one should first configure Slack settings, or that this tests connectivity. The note about reading the GET/schema endpoint is about the body parameter, not about usage context. There is no indication of prerequisites or scenarios where this tool is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover read-only, destructive, and idempotent behavior, and the description aligns with them. The description adds useful context by stating this is an update and that the body fields must be discovered via GET or /schema. It does not disclose auth requirements, rate limits, or the full scope of side effects, so it is adequate but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded: a one-line summary, the endpoint, and a single Args note. The GET/schema instruction earns its place and there is no filler. It is well structured, though slightly boilerplate in its wording.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter tool with an opaque body, the description provides the essential invocation step (read GET/schema first), and the output schema plus annotations cover return values and safety traits. However, it does not explicitly explain when to choose this over list_settings_notifications_telegram or the *_test sibling, nor does it mention authentication or side-effect scope. This is minimally viable rather than fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema only defines 'body' as an open object, so the agent would otherwise have no idea how to construct it. The description compensates by calling it a 'Request payload' and directing the agent to the matching GET or /schema endpoint for the expected fields. This meaningfully adds value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific action and resource: 'Update Telegram notification settings.' It also gives the exact endpoint and the Telegram qualifier helps distinguish it from sibling notification and test tools. However, the tool name begins with 'create_' while the description says 'update', creating a mild semantic mismatch.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context: use this to update Telegram notification settings. It also gives an explicit precondition—read the matching GET or /schema endpoint first—so the agent knows how to prepare the body. It does not explicitly contrast this tool with list_settings_notifications_telegram or the *_test sibling, but the intended use is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations indicate the operation is a mutation (readOnlyHint false), idempotent (idempotentHint true), and non-destructive (destructiveHint false). The description adds only 'Test', which hints at a side effect (likely sending a test message) but does not confirm what happens or what the response signifies. It does not elaborate on behavior beyond the annotation cues, which is insufficient for a tool that likely triggers notifications.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded with the core purpose. The endpoint and argument note are presented cleanly. No wasteful sentences; it earns its length. The only minor issue is that it could be slightly more informative without bloating.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given this is a test tool with a generic body object and an output schema (not shown), the description should explain the expected payload fields, the effect of the test, and how to interpret the response. Instead, it only points to external endpoints. An agent cannot invoke it successfully without extra investigation, and the description lacks sufficient context to know what 'test' accomplishes.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The only parameter 'body' is an object with additionalProperties true, and schema description coverage is 0%. The description merely says 'Request payload' and tells the agent to read the GET or /schema endpoint. This is a deferral rather than a description of fields, so it does not compensate for the lack of schema detail. An agent still cannot construct a valid payload without making an extra call.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Test Telegram settings' – a clear verb (test) and resource (Telegram settings). This distinguishes it from non-test variants like create_settings_notifications_telegram and from test tools for other providers (e.g., _discord_test, _email_test). However, it doesn't explicitly explain what 'test' entails (e.g., sending a test notification), leaving some ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description advises reading the matching GET or /schema endpoint first, which provides situational guidance on how to obtain the payload shape. But it does not state when to use this tool instead of – or in combination with – other settings tools, nor does it mention any alternatives or exclusions. Usage context is mostly implied by the tool name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare idempotentHint=true and destructiveHint=false, so the description only needs to add context, and it does clarify the operation is an update rather than a creation. It adds a useful instruction to consult the GET/schema endpoint, but it does not disclose auth requirements, which specific webhook fields are affected, or what response is returned.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded with the operation and resource, and it avoids re-stating the schema's types. The endpoint path adds a little redundant context but is not significant waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an opaque-body settings update, the pointer to GET/schema plus output schema availability covers the main data needs. However, there is no guidance on when to use this instead of the many sibling notification-setting tools, and the create/update naming inconsistency is left unresolved.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With schema coverage at 0% and the single body parameter being an open object (additionalProperties:true), the description compensates by directing the agent to read the matching GET or /schema endpoint to discover expected fields. This is essential, actionable guidance, though it does not list concrete field names or value formats.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a clear verb ('Update') and resource ('webhook notification settings'), so an agent can tell this is a write operation on notification settings. It does not explicitly differentiate from sibling tools like create_settings_notifications_webhook_test or list_settings_notifications_webhook, and the 'create' in the name conflicts with 'Update' in the description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use or alternative routing is provided; the description never mentions sibling tools or cases where another notification tool should be used. The instruction to read the matching GET or /schema endpoint is a prerequisite for building the payload, not selection guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already disclose idempotentHint=true, destructiveHint=false, and readOnlyHint=false, so the agent knows it's a safe mutation. The description adds that the agent should read the GET or schema endpoint first, which is useful context. However, it does not describe what the test does (e.g., sends a test webhook) or the response format beyond what the output schema provides. With annotations covering safety, the description adds some value but not rich behavioral detail.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise: two sentences plus an endpoint line. The purpose is front-loaded, and the usage guidance is immediately actionable. There is zero waste, and every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a test endpoint with an output schema, the description is largely complete. It identifies the operation, provides the HTTP endpoint, and directs the agent to fetch parameter details. It does not describe side effects, but annotations cover safety. The only minor gap is not explaining what 'test' means, but given the output schema exists and the action is idempotent, this is acceptable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the body parameter is an open object with additionalProperties. The description compensates by telling the agent to 'Read the matching GET or the /schema endpoint first to see the fields this resource expects.' This provides a clear path to discover the required fields, which is more helpful than leaving the agent to guess. It does not enumerate fields but gives a concrete strategy to obtain them.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Test' and the resource 'webhook settings', giving a precise purpose. It does not explicitly differentiate from sibling test endpoints like create_settings_notifications_discord_test, but the resource name makes it unambiguous. The description avoids tautology and is specific enough for an agent to understand what the tool does.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides actionable guidance: 'Read the matching GET or the /schema endpoint first to see the fields this resource expects.' This tells the agent what to do before invoking the tool, which is valuable. It does not explicitly state when to use this vs. alternatives, but for a test endpoint the context is self-evident. The instruction about fetching the schema is a clear usage prerequisite.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate readOnly=false, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds a useful behavioral note that the body schema is open and the agent should consult a GET or /schema endpoint, but it does not explain update semantics such as whether this replaces or merges existing settings.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded, stating the action, the resource, the HTTP route, and the argument handling in a few lines. No sentence is wasted, and the external-field-discovery instruction earns its place given the open body schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with an open body schema and many closely related siblings, this description is minimally adequate because it points to the GET/schema endpoints. However, it does not distinguish this tool from the webpush test tool or other notification settings tools, and it does not clarify whether 'create' in the name means update, which leaves an agent needing additional context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%: the only parameter 'body' is an open object with no property descriptions. The description merely calls it a 'Request payload' and redirects the agent to the GET or /schema endpoint, which is a workaround rather than actual parameter semantics. It does not tell the agent what fields are relevant or how to structure them.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('Update') and resource ('Web Push notification settings'), but the tool name says 'create_' while the description says 'Update', creating a mild inconsistency. It does not differentiate this tool from the many sibling notification-settings tools, especially 'create_settings_notifications_webpush_test' or 'list_settings_notifications_webpush'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description offers no guidance on when to use this tool versus alternatives such as the webpush test endpoint or other notification channel settings. The only procedural hint is 'Read the matching GET or the /schema endpoint first', but that is about discovering fields, not about choosing between competing sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate this is non-read-only, idempotent, and non-destructive, so there is no contradiction. However, the description adds little behavioral context beyond the word 'Test' and the HTTP method; it does not disclose what the test call actually does or what side effects may occur.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact, front-loads the action, and includes only the endpoint and the single-argument note. There is no filler or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present and annotations covering safety, the main missing pieces are explicit usage guidance and a clear statement of what the test call does. For a one-parameter tool it is mostly adequate, but among many sibling `_test` tools it is not fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema is opaque (`body` with `additionalProperties: true`) and schema description coverage is 0%, so the description's instruction to read the matching GET or /schema endpoint is genuinely useful. It tells the agent how to discover the actual expected fields, which is more than the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies a specific action ('Test') and resource ('Web Push settings'), and states the POST endpoint. It is easy to distinguish from the configure-style sibling `create_settings_notifications_webpush`, though it does not explicitly state the intended effect (e.g., sending a test push notification).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use or when-not-to-use guidance is provided. The description does not mention alternatives or conditions for choosing this tool over the many other notification `_test` siblings. The only directive about reading the GET or /schema endpoint is for parameter discovery, not tool selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already convey idempotency and non-destructiveness, and the description adds the requirement to consult GET/schema first. It does not describe effects such as merging/replacing fields or auth expectations, but annotations lower the burden.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences: action, endpoint, and parameter guidance. There is no redundant or misleading prose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an open-body settings update with an output schema and annotations, the description covers the key requirements: endpoint, mutation intent, and how to discover body fields. It could be more explicit about naming the sibling GET tool, but it is not incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The body schema is an open object with 0% coverage, so the description's instruction to read the matching GET or /schema endpoint is essential for discovering valid fields. It compensates for the empty schema, though it leaves actual field discovery to another call.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'Update Plex settings,' identifying a specific verb and resource. It is clear, but it does not explicitly differentiate from sibling tools like list_settings_plex or create_settings_plex_sync.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It states the operation (update Plex settings) and instructs the agent to read the matching GET or /schema endpoint before calling. This is clear context for when to use it, though it does not name alternatives or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare the operation is non-read-only, idempotent, and non-destructive. The description adds the key behavioral fact that it triggers a full library scan and warns the agent to consult GET/schema first. It does not address edge cases like an already-running scan, but annotations lower the burden.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Four short lines with no filler: the action is front-loaded, the endpoint is included, and the parameter guidance is the minimum needed. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-body-parameter trigger endpoint with an output schema, the description is nearly complete. It names the action, gives the endpoint, and explains how to discover the payload shape. It could add one sentence about side effects or prerequisites such as Plex being configured, but nothing critical is missing for invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The sole parameter is a generic open object with 0% schema coverage. The description compensates by identifying body as the request payload and, more importantly, directing the agent to the matching GET or /schema endpoint for the expected fields. It does not enumerate fields, but the redirect is the actionable semantic information.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Start full Plex library scan.' This clearly distinguishes the tool as a trigger action, unlike siblings such as list_settings_plex_sync (which lists sync state) or create_settings_plex (which configures Plex).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The intended use is implied by 'Start full Plex library scan,' and the instruction to read the matching GET or /schema endpoint provides a useful prerequisite. However, it does not explicitly state when to prefer this over sibling settings endpoints or mention when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate this is a non-read, idempotent, non-destructive operation, so the description's burden is lower. However, the description adds no behavioral context beyond 'Create' – no mention of side effects, validation, or what happens on repeated calls.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded, with the core purpose in the opening sentence and a useful pointer to the schema endpoint. The endpoint line is somewhat redundant with the name, but there is no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a create operation with an open-ended body and no parameter documentation, the description leaves the agent knowing how to find fields but not what the operation needs or how it relates to the sibling test/update/delete tools. The output schema covers return shape but not request semantics.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for the open body object. It only labels body as 'Request payload' and points the agent to the GET/schema endpoint; it does not describe any expected Radarr fields, defaults, or required configuration values.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear action and resource: 'Create Radarr instance.' It is specific enough to distinguish from unrelated tools and from settings for Sonarr, but it does not explicitly address the close sibling create_settings_radarr_test or explain what a Radarr instance represents.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance about when to use this tool instead of alternatives such as create_settings_radarr_test for validating a connection or update_settings_radarr_by_radarr_id for modifying an existing instance. The only advisory content is to read the GET/schema endpoint before supplying the body, which is a pre-call instruction rather than usage selection guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already provide idempotentHint=true and destructiveHint=false, covering the safety profile. The description adds that this is a test operation and the endpoint, but does not explain what testing entails, such as whether it validates connectivity, sends external requests, or returns success/failure details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded: a one-line purpose, the endpoint, and body guidance. There is no filler, and the pointer to the schema endpoint earns its place. It could be slightly more compact by merging the endpoint into the purpose sentence.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an untyped-body test endpoint with an output schema and safety annotations, the description provides enough: purpose, endpoint, and a way to discover body fields. It does not enumerate failure or success behavior, but the output schema covers return shape.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the body is an open object with additionalProperties=true. The description partially compensates by telling the agent to consult the matching GET or /schema endpoint for expected fields, but it gives no direct detail about what the body should contain.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a concrete action ('Test') and a target ('Radarr configuration'), and includes the HTTP endpoint. It is distinguishable from sibling tools like create_settings_radarr by the word 'test', though it does not explicitly contrast itself with related test/create tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives actionable guidance: read the matching GET or /schema endpoint before constructing the body. It does not explicitly state when to prefer this over create_settings_radarr or the other *_test siblings, but the action name and resource make the intended usage reasonably clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already provide idempotentHint=true and destructiveHint=false, so the safe, repeatable nature of this operation is covered. The description adds the HTTP method and the need to consult the GET/schema endpoint before sending a body, but it does not describe side effects, validation behavior, or what happens if a Sonarr instance already exists.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is minimal and front-loaded: action first, endpoint second, then a single Args line. Every sentence serves a purpose, with no redundant filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a create endpoint with an opaque body, the description provides the essential discovery path: the endpoint, the body argument, and the instruction to consult GET/schema first. Given the output schema exists and annotations cover idempotency/safety, the missing operational details are not critical for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema gives no field-level information for 'body' (0% coverage), so the description's directive to read the matching GET or /schema endpoint is a useful compensating hint. It does not, however, enumerate any actual body fields or expected structure, leaving the agent reliant on an external discovery step.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The first sentence, 'Create Sonarr instance,' uses a specific verb and resource, and the endpoint 'POST /api/v1/settings/sonarr' reinforces exactly what is being created. It is distinguishable from siblings like create_settings_sonarr_test, though the description does not explicitly name or contrast those alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The instruction to 'Read the matching GET or the /schema endpoint first' is valuable prerequisite guidance and implies the tool should not be called before understanding the body schema. However, the description gives no explicit when-to-use / when-not-to-use guidance or mention of related alternatives such as update_settings_sonarr_by_sonarr_id or create_settings_sonarr_test.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover idempotency and non-destructiveness, so the description's job is lighter. The word 'test' adds the validation behavior, but the description does not disclose possible external effects such as contacting the Sonarr server or failure-mode behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Four short lines, purpose first, no filler. The endpoint line and argument note are directly useful, and every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-body-parameter test endpoint, this is mostly sufficient: output schema exists, annotations cover safety, and the /schema pointer handles the dynamic body. It is not perfect because it does not explain the expected workflow (e.g., test before saving) or what 'test' actually validates, but those are secondary for invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and body is an opaque additionalProperties object. The description at least explains that body is the request payload and instructs the agent to read the matching GET or /schema endpoint to discover expected fields, which is useful but stops short of actual field semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description says 'Test Sonarr configuration', a specific action on a specific resource. It is immediately distinguishable from the sibling create_settings_sonarr (save vs test) and from create_settings_radarr_test because it explicitly names Sonarr.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It never says when to call this test endpoint instead of create_settings_sonarr or the other *_test settings endpoints. The context is only implied by the name/verb; there are no exclusions, prerequisites, or alternative routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate this is non-read-only, non-destructive, and idempotent. The description adds that this is an HTTP POST with a request payload, but it does not describe side effects, authorization requirements, or how settings are merged/replaced. This is acceptable given annotation coverage but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded with the core action, 'Update Tautulli settings'. The endpoint line is slightly redundant with the tool name but not wasteful, and the payload guidance is concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the open body schema and the existence of an output schema, the description's instruction to read GET or /schema closes the main knowledge gap for calling the tool correctly. It does not mention authentication or detailed effects, but the annotations and endpoint context supply enough for a competent agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema only defines a free-form body with additionalProperties true and no field descriptions, so the description carries the burden. It compensates by explaining that body is the request payload and by directing the agent to GET or /schema to discover expected fields. This is the necessary semantic for an open schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Update Tautulli settings', which names a specific verb and resource. It also includes the HTTP endpoint POST /api/v1/settings/tautulli, making it easy to distinguish from list_settings_tautulli and other create_settings_* tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It provides clear context: this tool updates Tautulli settings. It also instructs the agent to read the matching GET or /schema endpoint first, which is actionable guidance. It does not explicitly mention alternatives or when-not-to-use, so it stops short of a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=false and idempotentHint=true, so the agent knows this is a write operation that is idempotent. The description adds no further behavioral context such as authentication requirements, required fields, or side effects. It does not contradict annotations, but also does not enhance them.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and front-loaded: it states the action in the first line, then provides the HTTP endpoint and a note about the body argument. There is no fluff. It could be slightly more structured (e.g., separating endpoint and args), but overall it is efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description leaves ambiguity about which exact GET endpoint to consult and does not specify the expected body structure beyond an external reference. Given the large number of sibling tools and the open-ended body schema, this could confuse an agent. It does not cover authentication or other prerequisites, and while an output schema exists, the input side is under-specified.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has a single 'body' object with no property descriptions (coverage 0%). The description points the agent to 'the matching GET or the /schema endpoint' to discover fields, which provides a useful path but does not enumerate actual field names or types. This partially compensates for the empty schema but leaves the agent to do additional lookups.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a clear action and resource: 'Create new user.' It is unambiguous and directly conveys a write operation. However, it does not explicitly differentiate itself from sibling create_user_* tools (e.g., create_user_import_from_plex), so it doesn't fully meet the bar for distinguishing among siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It only advises reading the 'matching GET or the /schema endpoint' to understand the payload, which is about constructing the request, not about selection criteria. No exclusions or alternative tool names are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already convey that this is a mutating, idempotent, non-destructive operation, so the description does not need to restate those traits. It adds the HTTP method/path and the important caveat that the body schema must be discovered via GET/schema. There is no contradiction with the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and well-structured: purpose first, then endpoint, then args. It is easy to parse and contains no wasted sentences, though the Args section is somewhat redundant with the input schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Combined with annotations and the output schema, the description covers safety and return shape, and the GET/schema instruction addresses the opaque body. Missing elements are explicit routing among sibling settings tools and any mention of permissions or side effects beyond what annotations already provide.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It identifies user_id as a path parameter and body as the request payload, and directs the agent to the matching GET/schema endpoint to learn the expected fields. This is useful, though it leaves the actual body semantics external rather than enumerating them.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The opening sentence 'Update general settings for a user' names a concrete action, resource, and scope, and the endpoint path reinforces the target. It is distinguishable from other per-user settings tools by 'general settings', though the generated name 'create_user_by_user_id_settings_main' conflicts with the described 'Update' action and no sibling is explicitly named.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies this tool is for updating a user's general settings and gives the practical instruction to read the matching GET or /schema endpoint first. However, it does not explicitly state when to choose this over siblings like create_settings_main or other per-user settings tools, nor does it provide any 'do not use' conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already convey that this is a non-read, non-destructive, idempotent operation. The description adds the POST route and the operational requirement to inspect the GET/schema endpoint first, but does not discuss merge versus replace behavior, permissions, or other side effects. This adds some value without contradicting the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and well-ordered: one-line purpose, route, then args. There is no filler, and the added instruction about reading GET/schema earns its place by addressing the opaque body parameter.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter tool with an open body, the description provides the path, arg roles, and a discovery mechanism for the payload fields; the output schema covers return expectations. It is slightly incomplete only in not addressing when to choose this over the many related notification-setting tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It clarifies that user_id is a path parameter and body is the request payload, and it tells the agent to consult the matching GET or /schema endpoint because the body is open (additionalProperties). This is practical and sufficient for invoking the tool, even though actual fields are not enumerated.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description opens with 'Update notification settings for a user', a specific verb and resource. The 'for a user' scope distinguishes it from the many global settings_notifications siblings, though it never names an alternative explicitly. The HTTP method and path reinforce what operation is being performed.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus the create_settings_notifications_* or other user settings siblings. The only instruction is to read the matching GET or /schema endpoint before supplying the body, which is within-tool preparation rather than alternative selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate this is a mutating (readOnlyHint=false), non-destructive, idempotent operation. The description adds that the operation updates a password and that the body schema must be discovered from the matching GET or /schema endpoint. It does not disclose side effects, auth requirements, or response behavior, but annotations cover the core safety profile.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured: a one-line purpose, the endpoint, and a short argument list. Every sentence serves a purpose, and there is no filler or redundant elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the opaque body parameter and zero schema coverage, the description provides a viable discovery path by telling the agent to read the matching GET or /schema first. It is adequate for a simple password update but lacks explicit guidance on when-to-use, permissions, and the create/update naming inconsistency.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It clarifies that user_id is a path parameter and that body is a request payload, and it directs the agent to discover expected body fields via GET or /schema. However, it does not describe the actual body fields, leaving a required nested object unspecified.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb+resource: 'Update password for a user.' The endpoint line reinforces the target. It does not explicitly distinguish itself from sibling settings tools like get_user_by_user_id_settings_password, but the update-vs-get verb makes the distinction inferable. The tool name's 'create_' prefix conflicts slightly with the description's 'update' wording, but the description itself is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied: use this when updating a user's password. The description provides a useful prerequisite—'Read the matching GET or the /schema endpoint first'—but does not explicitly state when to prefer this tool over alternatives or mention any exclusions or auth requirements.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate readOnly=false, idempotent=true, destructive=false, and the description does not add substantive behavioral detail such as whether permissions are replaced or merged, authorization requirements, or side effects. The only extra context is the instruction to fetch the schema/GET first, which is procedural rather than behavioral.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and well organized: one-sentence purpose, endpoint, then categorized args. Every included sentence adds useful information, and the reference to the GET/schema endpoint is a necessary pointer for the opaque body.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The endpoint, annotations, output schema, and the pointer to the GET/schema endpoint provide enough for a minimally viable call. It is not fully complete because it leaves the body semantics, permissions model, and update behavior to be discovered, and the create/update naming conflict adds uncertainty.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description must compensate, and it does partially: it identifies user_id as a path parameter and body as the request payload, and points to the matching GET/schema for field definitions. It does not enumerate the expected permission fields, so the agent still depends on an external lookup for the actual body shape.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action and resource ('Update permission settings for a user') and gives the exact endpoint, which distinguishes it from sibling settings tools like get_user_by_user_id_settings_permissions. However, the tool name starts with create_ while the description says Update, and the method is POST, leaving mild verb ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It advises reading 'the matching GET or the /schema endpoint first' before constructing the body, which is a useful precondition. It does not explicitly state when to choose this tool over the GET counterpart or other user-settings mutation tools, leaving the selection mostly implied by the purpose.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already provide idempotent and non-destructive hints scan. The description adds that the operation imports all Plex usersand instructs the agent to consult the schema for payload shape. However, it does not disclose whether the import creates or updates users, whether Plex must already be configured, or any auth requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded with the primary purpose, followed by the endpoint and a necessary schema-discovery instruction. There is no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite the output schema and annotations covering some aspects, the description lacks usage context, preconditions, and behavioral expectations. An agent still does not know when to choose this import over related Plex/user tools or what concrete side effects the import has.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the only parameter is an open-ended body object. The description compensates by labeling body as the request payload and directing the agent to the matching GET or /schema endpoint for expected fields. This is workable but does not provide actual field semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear action ('Import all users from Plex') with a specific resource and source. It is distinguishable from the manual create_user and authentication-related Plex siblings, though it does not explicitly name exclusions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives, nor any prerequisites or conditions. The only directive is to read the GET or /schema endpoint, which is about payload discovery, not tool selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false, so the mutation safety profile is covered. The description adds a useful behavioral pointer: the body is complex enough that the agent must consult the GET or /schema endpoint first. It does not disclose additional runtime behavior such as whether an existing matching subscription gets replaced or what happens on duplicates.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three short sentences with no filler. The endpoint is front-loaded, and the schema-lookup instruction is stated compactly. Every sentence contributes.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The output schema exists, so return values need not be explained. The description provides a schema-reference path for the complex body, which is helpful, but it omits context such as which user the subscription is registered for, authentication expectations, and the relationship to the webpush notification settings endpoints. It is adequate for a simple register operation but not rich.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema coverage and one generic 'body' object, the description must compensate. It does so by directing the agent to the matching GET or /schema endpoint for the expected fields, which is meaningful guidance. However, it gives no concrete parameter names, formats, or examples, so the agent still must perform a separate lookup before invoking the tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Register') and resource ('web push') plus the exact endpoint, so an agent can tell this creates a push subscription rather than configuring webpush notification settings (siblings create_settings_notifications_webpush). However, it does not explicitly contrast with related sibling tools like get_user_by_user_id_push_subscriptions or delete_user_by_user_id_push_subscription_by_endpoint.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage by saying 'Read the matching GET or the /schema endpoint first to see the fields this resource expects', which tells the agent to fetch a schema before calling. It does not state when to prefer this tool over alternatives, nor mention prerequisites like authentication context or which user the subscription applies to.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true and idempotentHint=true, and the 'Delete issue' text plus DELETE method aligns with them. The description adds no additional context such as whether the action is permanent, whether related data is affected, or whether special permissions are required, but it also does not contradict the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded with the purpose and endpoint. It has no filler, though the Args line is redundant with the schema and could be omitted without losing meaning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter delete operation with annotations and an output schema, the core essentials are present: the action, endpoint, and required id. However, the absence of usage guidance and any behavioral depth beyond the annotations leaves it merely adequate rather than fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?