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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint, so the safety profile is covered. The description adds only that the request must be 'existing,' but omits return format, error behavior, and any auth or rate-limit context. With annotations carrying the main burden, this is minimally sufficient.

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?

A single front-loaded sentence with zero wasted words. It states the action, resource, and identifying parameter immediately.

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 and annotations are rich, but with no output schema and 0% schema description coverage, the description should clarify return values or error behavior when a request ID is invalid. It leaves those gaps unaddressed, making it adequate but 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?

Schema description coverage is 0%, so the description must compensate for the undocumented parameter. Instead it merely restates 'by its request ID,' which duplicates the schema's property name and title without adding format, source, or semantic detail.

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 specific verb ('Inspect'), resource ('Seerr request'), and identifier ('request ID'), making the basic action clear. However, it does not differentiate this tool from siblings like request_media or search_media, so an agent must infer the distinction without explicit guidance.

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?

Provides no when-to-use guidance, prerequisites, or alternatives. The description implies you need an existing request ID but does not say when to choose this tool over request_media or search_media, leaving routing entirely 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 declare readOnly, idempotent, non-destructive and open-world behavior, so the safety bar is low. The description still adds genuine value beyond them: it discloses the return content (configured services plus effective write permissions) and asserts 'no secrets', telling the agent it can call this without credential-leak concerns and that the response is about permissions rather than sensitive data.

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?

A single, front-loaded clause with zero wasted words; the resource is named first and the scope caveat follows immediately. Nothing could be cut 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?

With no output schema, the description must at least characterize the return, which it does ('configured services and effective write permissions'). It does not sketch the shape of the response or ordering, but for a no-argument inventory read with rich safety annotations, it is sufficient 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 tool takes zero parameters, so there is nothing for the description to clarify; per the rubric a 0-parameter tool gets the baseline of 4. The description correctly does not invent parameter detail.

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?

Specific verb ('List') plus specific resource ('configured services and effective write permissions'), with a clarifying scope note ('no secrets'). The siblings (request_media, ping, search_media, get_request) are unrelated in subject matter, so no disambiguation is needed and the purpose reads unambiguously.

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 only implied — it is evidently the service-inventory read used when an agent needs to know what services exist and what write rights it has. There is no explicit when-to-use, when-not-to-use, or naming of an alternative tool, so guidance stays at the minimum-viable level.

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, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered elsewhere. The description nonetheless adds genuinely new behavioral context: the call is cheap and explicitly does not touch backends, which matters for an agent deciding whether a liveness probe can have 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?

A single clause-pair sentence with zero waste, front-loading the core purpose and appending the one useful limitation. Nothing could be cut without losing information.

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, no-output-schema health probe, the description covers what the tool is and how far its assurance extends. The only mild gap is that the success/failure signal shape is left implicit, which matters slightly given there is no output schema.

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 takes zero parameters, which is the baseline-4 case; the schema description coverage is 100% and there is nothing for the description to disambiguate.

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 specific verb+resource: an MCP liveness check, and adds a precise boundary ('does not probe backends') so the agent knows this is a shallow health probe, not a backend diagnostic. It does not name siblings, but the sibling set (media/service tools) is functionally unrelated, so differentiation is less critical.

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?

'Cheap ... liveness check' implies the context: use it as a lightweight preflight rather than a real request. The 'does not probe backends' clause implicitly tells the agent not to rely on it for backend reachability, but no explicit when-not or alternative tool is named.

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 readOnly=false and idempotent=false; the description adds real context beyond them by noting the approval workflow is preserved and that Seerr write permission is required. It still omits duplicate-request behavior and what the call returns.

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 tight fragments, front-loaded with the action, then parameters, then prerequisite. No filler or redundancy.

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?

Covers the action, key parameters, and the write prerequisite, but with no output schema the description should say what a successful request returns (e.g., a request ID) and it leaves is_4k undocumented, so it is only partially complete for a 4-param 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 the description must carry the burden: it documents media_id as a TMDB ID, media_type as movie or TV, and seasons defaulting to [1]. It omits is_4k entirely and does not pin down accepted media_type strings or the seasons semantics for movies.

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 specific verb+resource ('Create a Seerr request') and clarifies the domain (Seerr media requests) which separates it from read-only siblings like get_request and search_media. It does not name a sibling explicitly, so it lands just short of the top mark.

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 (request media when you want Seerr to procure it) and it states the prerequisite 'Requires Seerr writes', but there is no explicit when-to-use vs. when-not, and no guidance on choosing among siblings such as get_request or search_media.

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 readOnly, idempotent, openWorld and non-destructive, so the safety profile is fully covered. The description adds nothing behavioral beyond that – no rate limits, no source-service caveats, no indication of what a search returns.

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?

A single front-loaded sentence with no waste. It is arguably too terse for the information it should carry, but the structure itself is clean.

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 search entry-point tool with no output schema, the description says nothing about result shape, pagination, or the relationship to request_media. An agent can call it, but cannot predict what it will get back.

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%, but with only one parameter the description does clarify that the 'query' is a free-text search string rather than an ID or filter. That is useful but minimal compensation for the undocumented 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?

States a specific verb (Search) and resource (Seerr/Jellyseerr media), so an agent knows the domain and action. It does not differentiate itself from siblings like get_request or request_media, but the core purpose 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?

No guidance on when to use this versus request_media or get_request, nor any prerequisites. An agent must infer that this is the discovery step that precedes requesting media.

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