Nas.com MCP

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

Annotations indicate it is not read-only and not destructive. The description adds context about business plan restrictions and prerequisites, but does not fully detail what happens if the tool is called without authorization or the exact response. Still, it provides useful behavioral context beyond 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 concise with four sentences. It front-loads the purpose and immediately follows with necessary usage prerequisites, avoiding unnecessary 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?

Covers purpose and usage well, but lacks parameter descriptions and clear differentiation from a sibling tool. Given the simplicity of the tool (2 params, no output schema), it is adequate but could be more 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?

Schema description coverage is 0%. The description does not explain the 'communityId' or 'emails' parameters, their purpose, format, or how to obtain them. It mentions 'emails' implicitly but does not define the array structure or constraints.

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 it invites or adds admin users to a managed community. It uses specific verbs and identifies the resource. However, it does not differentiate from the sibling tool 'add_community_admins', which appears identical, causing potential confusion.

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 explicit guidance: check business permissions, FREE businesses cannot use, call check_business_tool_access before, show grace-period warning and verified resubscribe link, and never proceed when blocked. This clearly tells when and how to use the 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?

The description adds behavioral context beyond annotations: it's a mutation requiring business permission checks, with restrictions for FREE businesses, and a prerequisite call to check_business_tool_access. It also mentions showing warnings. Annotations already indicate not read-only, but description enriches the behavioral model.

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 four sentences, front-loaded with the action, and includes necessary prerequisites. It is not excessively verbose, though could be slightly more concise by merging related instructions.

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 covers the workflow: check permissions, call check_business_tool_access, show warnings, and conditionally proceed. It is complete given the tool's complexity, though it omits success/failure behavior and return value details (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?

With 0% schema coverage, the description bears full burden for parameter explanations, but it only mentions 'by email' and does not clarify the participants array structure, the role of subscriptionObjectId, or the purpose of communityId and challengeId. This leaves the agent with insufficient 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 clearly states 'Add participants to a challenge by email,' which is a specific verb+resource. It distinguishes from siblings like remove_challenge_participants and list_challenge_participants by focusing on adding participants.

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 explicit usage guidance: check business permissions, FREE businesses cannot use, call check_business_tool_access before collecting inputs, show warnings, and never proceed when blocked. However, it does not explicitly mention alternatives or when to not use this tool over others.

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?

Beyond annotations (readOnlyHint=false, destructiveHint=false), the description discloses that the tool adds admin users, that business/community are interchangeable, and that it cannot be used by FREE businesses. This provides valuable behavioral context for safe invocation.

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?

Description is well-structured with core purpose first, then clarifications, then usage guidelines. It is informative but could be slightly more concise. Nevertheless, every sentence adds value.

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 write tool with no output schema, the description provides necessary preconditions and usage guidance. It does not detail post-invocation behavior (e.g., return value), but this is unlikely to hinder correct use given the tool's simplicity.

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 the two parameters (communityId, emails) have self-explanatory names. The description does not explicitly explain these parameters, but the context of 'add admin users to a managed community' makes them understandable. Slight lack of explicit 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 description clearly states the verb (invite/add) and resource (admin users to a managed community). It also clarifies terminology (business and community are interchangeable), which resolves potential confusion from the title 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?

Description explicitly tells when to use (after checking permissions), when not to use (FREE businesses cannot use), and provides a prerequisite tool (check_business_tool_access). Also specifies to show grace-period warnings and never proceed when access is blocked.

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 it is not readonly, not open-world, and not destructive. The description adds behavioral context: permission checks, free business restrictions, and warning steps, which go beyond annotations. No contradiction.

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 with front-loaded purpose, followed by prerequisites and warnings. It is efficiently written without unnecessary fluff, though could be slightly more structured with bullet points.

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 covers important preconditions and warnings, but lacks explanation of the communityId parameter and does not describe the output. Given the complexity (permissions, free users, warnings), the omission of parameter semantics reduces 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 input schema has only one parameter (communityId) with no description, and the tool description does not explain what communityId represents. With 0% schema coverage, the description should compensate but fails to add any 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 clearly states the action ('Submit a managed community application for Magic Audience') and the resource. It is specific, but does not explicitly differentiate from sibling 'create_magic_audience_application', though the name difference implies a distinct 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 provides explicit guidance: check business permissions, free businesses cannot use, call check_business_tool_access before collecting inputs, show grace-period warning and resubscribe link, and never proceed when blocked. This covers when to use, when not, and 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 indicate it is not read-only and not destructive. The description adds context about permission checks and limitations, but does not describe what happens on success or failure, nor the output. Given the annotations already provide safety profile, the description adds some value but could be more transparent about 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 three sentences: purpose, terminology clarification, and a block of usage instructions. It is concise but the third sentence is dense with multiple instructions; could benefit from structuring (e.g., bullet points). Still, it avoids unnecessary verbosity.

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 token exchange with no output schema, the description covers purpose, prerequisites, and dependencies. However, it omits details about the redirectUri parameter, the expected response, and error handling, leaving some gaps for the 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?

Schema description coverage is 0%, and the description does not explain any of the three parameters (communityId, code, redirectUri) beyond implying what 'code' is. With low coverage, the description fails to compensate, leaving the agent guessing parameter meanings.

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 exchanges a Facebook OAuth code for an access token for community tracking setup. It distinguishes the tool by clarifying that business and community are interchangeable, which differentiates it from the sibling authenticate_community_facebook_tracking.

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 explicit usage guidance: check business permissions first, FREE businesses cannot use it, call check_business_tool_access before collecting inputs, show grace-period warnings, and never proceed when blocked. It lacks explicit mention of alternatives but is strong on prerequisites and when-not-to-use.

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 it is not read-only (readOnlyHint=false) and not destructive (destructiveHint=false). The description adds the context of being an authentication step but does not disclose additional behavioral traits like side effects or required approvals 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 reasonably concise with front-loaded main action. It includes necessary prerequisite instructions without excessive verbosity, though it could be slightly tighter.

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 main action and prerequisites, but it does not describe the return value (output), which is important since there is no output schema. The user is left to infer what the access token is for. Still sufficient for a simple authentication 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?

Schema coverage is 0%, so the description should explain the parameters. It mentions 'Facebook OAuth code' and 'community tracking setup' but does not explicitly clarify the meaning of each parameter (code, communityId, redirectUri). The description adds minimal value over 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?

Clearly states it exchanges a Facebook OAuth code for an access token for community tracking setup. However, it does not clearly distinguish from the sibling 'authenticate_business_facebook_tracking' except by stating they are interchangeable, which may confuse but still conveys the core 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?

Provides explicit guidance on when to use: before offering, check business permissions, call check_business_tool_access, show grace-period warning and resubscribe link, and never proceed when access is blocked. Also notes that FREE businesses cannot use 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 set readOnlyHint=false, implying a write operation. The description adds context about business permissions and tier restrictions (FREE businesses). However, it doesn't detail the exact effect on participant points (e.g., cumulative addition) or any side effects. The 'award' verb implies modification, but more detail would improve 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 4 sentences, front-loaded with the purpose. It efficiently communicates the action and critical usage constraints without redundancy. Slightly longer than ideal but 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?

Given the tool's complexity (7 params, 6 required, an enum, no output schema), the description provides important business rule context (FREE businesses excluded, need to check access) but lacks explanation of return values, point calculation, or what happens after award. It adequately covers usage constraints but omits behavioral specifics.

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 has 7 parameters with 0% description coverage. The description adds no explanation for any parameter, including the enum awardType (GOOD, GREAT, AMAZING) which likely affects point values but is left unexplained. The reason field is optional but no guidance provided. The description adds minimal 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 begins with 'Award points to a participant for a challenge checkpoint' which clearly states the verb (award), resource (points), and context (challenge checkpoint). Among sibling tools like reset_challenge_checkpoint_points or update_challenge_participant, this tool is distinct in its specific action.

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 explicit usage guidance: check business permissions before offering, FREE businesses cannot use, call check_business_tool_access before collecting inputs, show grace-period warning and resubscribe link, and never proceed when blocked. This clearly tells when to use and when not to, with a named prerequisite 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 declare readOnlyHint=true and destructiveHint=false. The description adds operational constraints about permission checks and resubscribe links, which goes beyond annotations without contradicting 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 efficiently front-loads the main purpose and then provides necessary operational details. Every sentence serves a purpose, though slightly 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?

The description adequately covers the permission-checking workflow but does not mention the return format or what the batch get produces. Given the complexity and lack of output schema, more detail on expected output would be beneficial.

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% with no parameter descriptions. The description does not elaborate on the meaning or format of communityId, chatId, or templateObjectIds. For a 3-parameter tool with no schema documentation, the description should compensate but fails to do so.

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 'Batch get' and the resource 'AI Cofounder templates', and it distinguishes from siblings like get_ai_cofounder_template_version (single) and create/update 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?

The description provides explicit guidance on when to use (check business permissions, call check_business_tool_access, show grace-period warnings) and when not to use (FREE businesses cannot use). It names a prerequisite tool and instructs to never proceed when access is blocked.

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=true, so the agent knows it's safe. The description adds important context about access restrictions (managed community, free business exclusion, permission check required), which goes beyond annotations. No contradictions.

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?

Description is a single paragraph of four sentences, front-loaded with the main action. Every sentence serves a purpose (action, prerequisite, restriction, warning). Slightly verbose with imperative instructions but overall concise and well-structured.

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 2 required parameters and no output schema. The description covers access restrictions and prerequisites but does not explain the parameters or what the tool returns. Somewhat complete for guiding usage, but lacks parameter and output details.

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% (description does not explain parameters). The schema provides basic types and constraints for communityId and assetObjectIds, but the description adds no additional meaning. With low coverage, the description should compensate but fails to do so.

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 'Batch get creative assets for a managed community', specifying the verb (batch get) and resource (creative assets) and distinguishing it from sibling tools like edit_creative_asset or list_magic_contents.

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?

Explicitly instructs to check business permissions, notes free businesses cannot use, recommends calling check_business_tool_access before collecting inputs, and warns about grace-period and resubscribe link. Provides clear when-to-use and when-not-to-use context.

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 mark the tool as read-only. The description adds essential behavioral context: access restrictions for FREE businesses, mandatory pre-check via check_business_tool_access, and handling of grace-period warnings. 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 concise with 4 sentences, each carrying critical information: purpose, prerequisites, eligibility, and required pre-checks. 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?

While the access guidance is thorough, the description lacks details on return format, batch limits, and error handling. With no output schema, the agent is left guessing what 'Magic Content assets' look like. Additional param clarity 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?

Schema description coverage is 0%, meaning no parameter descriptions exist. The description does not explain the purpose of 'communityId' or 'assetObjectIds', forcing the agent to infer from names only. This is insufficient for a tool with two required parameters.

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 'Batch get Magic Content assets for a community.' The verb 'batch get' and resource 'Magic Content assets' are specific. It distinguishes from siblings like 'get_magic_content' (single) and 'list_magic_contents' (list) by implying batch retrieval, but does not explicitly contrast 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?

The description provides explicit prerequisites: check business permissions, FREE businesses cannot use, call check_business_tool_access, show warnings. This clearly tells the agent when to use the tool. However, it does not compare to alternative tools for similar tasks.

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 are minimal (readOnlyHint: false, destructiveHint: false). The description states the tool can create, update, delete, duplicate, and reorder, implying mutation, but it does not disclose any side effects, reversibility, or specifics about upsell operations. The omission of upsells from the description further reduces 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 concise with 5 sentences, front-loading the core purpose and then providing procedural guidelines. It avoids redundancy, though the procedural section could be slightly tightened. Overall, it is well-structured and non-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?

Given the tool's complexity (multiple operations, 10 parameters, no output schema), the description is incomplete. It covers permissions well but fails to explain parameter semantics, the relationship between checkpoints and upsells, or the expected format for arrays like reorderedCheckpoints. More detail is needed for full contextual 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?

Schema description coverage is 0%, so the description must compensate. It barely touches on parameters: it mentions 'checkpoints' but not 'upsells', and provides no structure or field details for the array items. The schema shows items with additionalProperties {} (open), leaving the agent without guidance on required fields 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 clearly states the tool can create, update, delete, duplicate, and reorder checkpoints for a challenge product, distinguishing it from other checkpoint-specific tools. However, it fails to mention that the tool also operates on upsells (createdUpsells, deletedUpsells, updatedUpsells), which are present in the schema but omitted from the description, causing slight 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 provides explicit and actionable usage guidelines: it instructs to check business permissions, notes that FREE businesses cannot use the tool, directs to call check_business_tool_access before collecting inputs, and outlines handling of grace-period warnings and blocked access. This is comprehensive and leaves no ambiguity.

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 it's a mutation (readOnlyHint=false) but not destructive (destructiveHint=false). The description adds important behavioral context: business permission constraints (FREE businesses blocked) and the need for pre-checks. 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 a single paragraph of 5 sentences; it is reasonably concise but lacks structural organization (e.g., bullet points for prerequisites). The first sentence conveys purpose, but the rest could be more 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?

Given only 2 parameters and no output schema, the description omits essential information: parameter values, return format, and side effects beyond the mutation. The usage instructions are thorough, but the tool definition is incomplete 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?

The input schema has 0% description coverage, and the description provides no explanation of the parameters (communityId, applicationStatus). This is a critical gap for an agent to correctly invoke the tool. The description must compensate but fails entirely.

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 ('bulk update') and resource ('community member application status'), distinguishing it from sibling tools like bulk_update_challenge_checkpoints. However, it does not specify what 'application status' entails or the valid status values, 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?

Excellent usage guidance: explicitly instructs to check business permissions, notes that FREE businesses cannot use it, directs to call check_business_tool_access first, and provides instructions for grace-period warnings and resubscribe links. Includes a clear when-not-to-proceed condition.

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=true and destructiveHint=false. The description adds that FREE businesses cannot use the tool and involves calculating totals/fees/pass-on handling. It does not contradict annotations, but lacks details on side effects or response behavior 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 brief at five sentences, front-loading the purpose and following with prerequisites. Every sentence adds value, and the structure is logical.

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 and five parameters lacking schema descriptions, the description should cover return values and full parameter semantics. It does not explain what the tool returns or handle errors, leaving significant gaps for an agent to invoke it 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 description coverage is 0%, requiring the description to compensate. The description vaguely mentions communityId, itemPrice, shippingFee, and isPassOn via 'fees' and 'pass-on handling', but does not explain entityType or provide clear definitions for each parameter. This is insufficient for understanding all five parameters.

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 calculates community price totals, fees, and pass-on handling. It also clarifies that business and community are interchangeable. However, it does not differentiate from the sibling tool 'calculate_community_price', which likely performs a similar function.

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 provides prerequisites: check business permissions, note that FREE businesses cannot use it, call check_business_tool_access before collecting inputs, and show grace-period warnings. It also specifies when not to proceed (access blocked). This offers clear guidance, including alternative steps.

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 read-only (readOnlyHint=true). The description adds behavioral context such as requiring prior access checks and showing warnings to the user. 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 concise (4 sentences), front-loads the purpose, and efficiently covers key prerequisites without 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?

The description omits explanation of return values and parameter details. With 6 parameters including a nested array and no output schema, the description is insufficient for an agent to invoke the tool correctly without 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 description coverage is 0%, and the description does not explain any parameter meaning. While parameter names like 'communityId' are somewhat self-explanatory, the complex 'checkpoints' array and 'applyToAll' lack clarification, making it hard for an agent to correctly populate 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 title and first sentence clearly state the tool calculates checkpoint dates for a challenge. The verb 'calculate' is specific and distinguishes it from sibling tools like 'update_challenge_checkpoint_dates' and 'get_challenge_checkpoint'.

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 explicit usage guidelines: check business permissions, FREE businesses cannot use, call 'check_business_tool_access' first, show grace-period warnings and resubscribe link, and never proceed when blocked. This clearly tells the agent when and how to use the 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 declare readOnlyHint=true, consistent with the calculation nature. The description adds beyond annotations by specifying that FREE businesses cannot use this tool and detailing required preliminary checks. No contradictions.

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 relatively long but well-organized with actionable steps. However, it includes redundant clarifications ('Business and community refer to the same thing') that could be streamlined.

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 5 parameters and no output schema, the description fails to explain parameter meanings and return values. It mentions 'totals, fees, and pass-on handling' but does not specify the structure of the response, leaving the agent underinformed.

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% with no parameter descriptions. The description does not explain any parameters (isPassOn, entityType, shippingFee) beyond mentioning 'itemPrice' implicitly. The agent receives no guidance on how to set these parameters.

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 calculates price totals, fees, and pass-on handling for an item. It specifies that 'business' and 'community' are interchangeable. However, it does not differentiate from the sibling tool 'calculate_business_price', which may have a similar 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 provides explicit preconditions: check business permissions, call check_business_tool_access before collecting inputs, show grace-period warning and resubscribe link, and never proceed when blocked. This is clear guidance on when and how to use the tool, though it does not mention alternatives 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?

Annotations provide little insight (destructiveHint false, readOnlyHint false). The description does not explain the consequences of cancellation, whether it is reversible, or any behavioral traits beyond the minimal action. The user remains uninformed about 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 very concise with two sentences and no wasted words. However, it could be slightly more informative without becoming verbose, so it is good but not perfect.

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 three parameters (including a required one) and no output schema, the description is insufficient. It does not explain the return value, the effect of cancellationReasons, or how the tool fits into the broader workflow of plan management.

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 adds value for the 'confirm' parameter by specifying the required value 'CANCEL_PLAN', but does not explain the 'communityObjectId' or 'cancellationReasons' parameters, leaving 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?

The description clearly states the verb 'Cancel' and the resource 'community plan', which is specific. However, it does not differentiate from sibling tools like 'delete_plan' or 'revoke_plan_cancellation', leaving ambiguity about when to use this tool over others.

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 only mentions a prerequisite ('Requires confirm set to CANCEL_PLAN') but provides no guidance on when to use this tool versus alternatives, such as when to cancel vs delete a plan or when to revoke a cancellation.

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 mark destructiveHint: true, but the description adds critical context: the confirm parameter must be exactly 'CANCEL', business permissions are required, and FREE businesses are excluded. It also mentions showing grace-period warnings and verifying resubscribe link. These go beyond annotations to fully disclose behavior and safety steps.

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 somewhat verbose but each sentence adds value. It is front-loaded with the purpose and confirm requirement. Could be slightly more concise by combining sentences, but it is well-structured and easy to follow.

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 covers usage guidelines and behavioral context well, but lacks details on return values or side effects (e.g., what happens after cancellation, whether refunds are processed). Given no output schema, this is a gap. Also, parameter details are missing. For a complex 7-parameter tool, more completeness is expected.

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. However, it only explains the confirm parameter ('set to CANCEL'). The other six parameters (bookingId, sessionId, communityId, requestRefund, transactionId, reasonForRefund) are left entirely to name inference. This is insufficient for an agent to understand their purpose or constraints.

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?

Clearly states it cancels a one-on-one session booking. Specific verb+resource. Distinguishes from siblings like delete_session (which deletes the session itself) and update_session (which modifies bookings). The description also specifies the required confirm parameter value, adding precision.

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 explicit guidance: requires confirm set to CANCEL, mandates checking business permissions via check_business_tool_access, warns that FREE businesses cannot use regardless of features, instructs showing grace-period warning and resubscribe link, and forbids proceeding when access is blocked. This is comprehensive and prevents misuse.

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 destructiveHint=false and readOnlyHint=false, but the description does not disclose any behavioral traits beyond the confirmation requirement. For a mutation tool, details about side effects, permissions, or reversibility are missing, and the description adds minimal value over 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 extremely short (one sentence), which is concise but at the expense of critical information. It fails to cover essential aspects like parameter semantics or usage context, making it under-specified rather than efficiently 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 tool has 5 parameters, 0% schema coverage, no output schema, and limited annotations, the description is very incomplete. It does not explain the purpose of most parameters, the effects of the change, or what happens upon success or failure, leaving significant gaps for the 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?

With 0% schema description coverage, the description must compensate by explaining parameter meanings. It only mentions the 'confirm' parameter, ignoring communityObjectId, priceId, discountCode, and communityReferralCode. This leaves the agent without necessary context for correct invocation.

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 'Change a community plan' using a specific verb and resource. However, it does not differentiate from the sibling tool 'change_plan_tier', which likely has a similar purpose, causing potential confusion for the 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?

The description only mentions that confirm must be set to 'CHANGE_PLAN', providing a single usage requirement. It does not explain when to use this tool versus alternatives like cancel_plan or change_plan_tier, nor does it specify prerequisites 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 indicate the tool is not read-only and not destructive. The description adds that it 'creates' a signed change and requires a specific confirm value, but it does not explain side effects, prerequisites beyond confirm, or what 'signed' entails.

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 a single sentence that immediately states the purpose and a critical constraint. It is efficient, though it sacrifices some necessary detail.

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 10 parameters, no output schema, and 0% schema description coverage, the description is too sparse. It does not cover the items structure, required fields meaning, or what the tool returns, leaving significant gaps for an AI 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?

Schema description coverage is 0%, yet the description only addresses one parameter (confirm) by mentioning its required value. It fails to explain the other 9 parameters, including the required items array, communityCode, timezone, and requestor.

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 'Create' and resource 'signed plan tier change', and it distinguishes itself from siblings like change_plan and confirm_plan_tier_change by specifying a key requirement: 'Requires confirm set to CHANGE_TIER.'

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 hints at a specific usage scenario (must set confirm to CHANGE_TIER) but does not provide explicit when-to-use or when-not-to-use guidance compared to similar tools like change_plan or confirm_plan_tier_change.

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?

Adds important behavioral context beyond annotations: forbids use by free businesses, requires prerequisite tool call, and mandates handling of blocked access. Annotations only indicate read/write/destructive intent, so description significantly supplements.

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?

Purpose is front-loaded and critical usage constraints are included, but the interchangeable note and some redundancy could be trimmed. Still efficient overall.

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 prerequisites and restrictions well but omits return value, error cases, or behavior when storage is sufficient. Given 2 simple params and no output schema, it is adequate but not 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?

Schema coverage is 0% and description provides no details on the two required parameters (communityId and uploadingFileSize). While the name and context imply that uploadingFileSize is the file size, communityId is not explained. Lacks sufficient guidance for correct invocation.

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?

Clearly states that the tool checks if a community (interchangeable with business) can upload a file of a given size. Distinguishes from similar tools like check_community_storage by clarifying terminology.

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?

Explicitly instructs to check business permissions first, notes that FREE businesses cannot use the tool, and requires calling check_business_tool_access before inputs. Also specifies to show grace-period warnings and not proceed when access is blocked.

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=true, and the description adds context about business tier restrictions and required pre-checks, enhancing transparency beyond 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 well-structured, starting with the core purpose and then listing usage rules. It is slightly verbose but each sentence adds value.

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 existence-check tool, the description covers purpose, usage rules, and permissions. It does not specify return values, but that is acceptable given the tool's simplicity.

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 does not explain individual parameters (communityId, month, year, timezone) beyond their names. With low coverage, the description should compensate but fails to do so.

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 checks existence of a community monthly summary and clarifies that business and community are interchangeable. It distinguishes from the sibling tool check_community_summary_exists.

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?

Explicit instructions are provided: check permissions before use, note that FREE businesses cannot use it, call check_business_tool_access first, show grace-period warnings and resubscribe link, and never proceed when blocked.

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 (readOnlyHint=true, destructiveHint=false) indicate it's safe and non-destructive. The description adds context beyond annotations: it's a preflight that can block proceeding, includes grace-period warnings, and mentions showing a verified resubscribe link. No contradictions.

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 sentences that are front-loaded with the purpose, each sentence adding value. No unnecessary words. Efficiently conveys the preflight role and key usage rules.

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 covers the preflight logic and usage rules well, but lacks information about the output/return value. Since there is no output schema, the agent needs to know what the tool returns to decide next steps. This gap prevents full 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?

Schema description coverage is 0%, and the description does not explain the parameters 'communityId' or 'toolName'. While the overall context hints that 'toolName' refers to the action being checked, there is no explicit mapping or clarification, leaving the agent to infer.

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 checks availability of a protected business action before proceeding, acting as a preflight. It distinguishes from sibling 'check_*' tools by specifying 'protected business action' and the preflight role, making its purpose specific and 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 explicitly says to use this tool before offering or requesting inputs for a protected business action. It also covers grace-period handling and warns never to proceed when blocked. While it doesn't explicitly state when not to use it, the context provides clear 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?

The description implies a read-only check operation, but annotations have readOnlyHint=false, contradicting the description. No behavioral traits beyond what annotations convey; the description does not disclose side effects or state changes.

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 front-loaded with purpose and then provides detailed usage steps. It is somewhat verbose but each sentence adds value. Good 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?

Lacks any description of return values or output format, which is critical for a checking tool. Zero output schema and no guidance on what the tool returns or error cases. Inadequate for completion.

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 the description only implicitly refers to parameters (community size, file size). It does not explain the communityId format or provide constraints beyond schema. Minimal additional 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 clearly states the tool checks whether a community can upload a file of a provided size, and clarifies that 'business' and 'community' are interchangeable, distinguishing it from similar tools like check_business_storage.

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 explicit procedural guidance: check permissions, note FREE businesses cannot use, call check_business_tool_access first, show grace-period warning and resubscribe link, and never proceed when access is blocked. This clearly defines when and how to use.

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=true and destructiveHint=false. The description adds critical behavioral context: the tool is an existence check, and importantly, it has access restrictions based on business type (FREE businesses cannot use). 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 description is somewhat long (six sentences) but each sentence adds value: core purpose, terminology clarification, usage prerequisites, and enforcement rules. It is front-loaded with the main action. Minor redundancy could be trimmed but overall well-structured.

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 no output schema, the description does not state the return value format (e.g., boolean). It also does not cover the parameters, which are necessary for complete understanding. While the usage guidelines are thorough, the lack of parameter and return value information leaves the tool description incomplete for an AI agent to invoke correctly without additional schema parsing.

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%, meaning the description does not explain any of the four parameters (communityId, month, year, timezone). The description focuses solely on usage policy and completely neglects to describe what the parameters mean or how they constrain the query. This is a significant gap for a tool with multiple parameters.

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 checks the existence of a community monthly summary. It also clarifies the interchangeability of 'business' and 'community', which helps avoid confusion with similarly named sibling tools like check_business_summary_exists. However, it does not explicitly distinguish from other checking tools beyond that.

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 extensive usage guidelines: it specifies prerequisites (check business permissions, call check_business_tool_access), conditions for use (FREE businesses cannot use), and required user interactions (show grace-period warning, resubscribe link, never proceed when blocked). This fully informs when and how to use the 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 indicate it is a mutation (readOnlyHint=false) and not destructive (destructiveHint=false). The description adds behavioral context, such as the requirement to check access and the exclusion of FREE businesses. However, it does not disclose the outcome of claiming (e.g., what changes in the system) or the return value, which would enhance 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 well-structured with the main action stated first, followed by important usage conditions. It is slightly verbose with the interchangeable note, but overall it efficiently conveys necessary instructions without excessive 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?

For a tool with one parameter and no output schema, the description covers key preconditions and guardrails. However, it lacks information about the return value or post-conditions, such as what the tool returns after claiming the benefit. This gap reduces completeness for the 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 has one required parameter 'communityId' with no description (0% coverage). The tool description does not elaborate on this parameter, meaning the agent must infer its meaning from context. Given the low coverage, the description should compensate but fails to add any value for parameter understanding.

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 'claim' and the resource 'available community plan benefit for a managed community'. It clarifies that business and community are interchangeable, but this could cause confusion with the sibling tool 'claim_community_plan' which may serve a similar role. Overall, the purpose is well-defined.

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 explicit guidance on when to use this tool: check business permissions first, call 'check_business_tool_access' before collecting inputs, and never proceed if access is blocked. It also specifies that FREE businesses cannot use this tool. This clearly distinguishes when the tool should and should not be invoked.

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 significant behavioral context beyond annotations: it requires pre-checks, warns against use for free businesses, and mandates showing warnings. However, it does not describe the post-claim state (e.g., what changes occur in the system, any return values), which would be beneficial. Annotations already indicate a non-read-only, non-destructive mutation, and the description aligns.

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 four sentences long, each adding value. It front-loads the purpose, then details prerequisites and constraints. It is efficient but could be slightly more concise by removing redundant phrasing like 'Business and community refer to the same thing and are interchangeable,' which is only helpful for disambiguation.

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 one parameter and no output schema, the description covers prerequisites, permission checks, and conditional warnings. It lacks information about the tool's return value or side effects (e.g., does it modify plan status?), but given the focus on preconditions, it is fairly complete. The annotations provide basic behavioral hints.

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 has one required parameter 'communityId' (string) with no schema description. The description does not elaborate on the parameter's meaning, format, or constraints beyond what is implied by the name. With 0% schema coverage, the description could have added value but did not. However, the parameter is self-explanatory, and the purpose is clear, so a baseline score of 3 is appropriate.

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 claims a community plan benefit. It mentions interchangeability between business and community, but does not explicitly differentiate from the sibling 'claim_business_plan' tool, which likely has an analogous purpose. The verb 'claim' and resource 'community plan benefit' are 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 explicit when-to-use instructions: check business permissions, call check_business_tool_access before collecting inputs, show grace-period warnings, and never proceed when access is blocked. It also states a clear exclusion: 'FREE businesses cannot use this tool, regardless of individual feature rows.' This surpasses minimal 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 a non-read, non-destructive mutation. The description adds value by detailing required permission checks, business tier restrictions, and required user-facing steps (grace-period warning, resubscribe link). Missing details on side effects or return behavior, but sufficient for the operation.

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 front-loaded with the core action and then adds necessary prerequisite steps. It is efficient but could be slightly shorter by removing redundant phrasing (e.g., 'check business permissions' and 'FREE businesses cannot use' could be combined).

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 permission and access constraints well, but lacks parameter descriptions and does not explain what happens after completion (e.g., return value, state changes). For a mutation tool with no output schema, the agent needs more context on the outcome.

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 has two required parameters (communityId, type) with 0% coverage (no descriptions). The tool description does not explain what 'type' represents or how to specify it, leaving the agent without guidance on parameter meaning or format.

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 'mark complete' and the resource 'get-started checklist item for a managed community'. It distinguishes from siblings like 'dismiss_cmp_home_get_started' and 'get_cmp_home_get_started' by specifying the action type and context.

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?

Explicitly provides when-to-use and when-not-to-use conditions: check business permissions, FREE businesses cannot use, call check_business_tool_access first, show grace-period warning and resubscribe link, never proceed if blocked. This is comprehensive guidance for an AI 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?

Annotated as readOnlyHint=false, implying mutation, but the description adds that it is a 'multipart' upload completion, providing some behavioral context. However, it does not disclose idempotency, side effects (e.g., whether the item becomes immediately available), or error conditions beyond access issues.

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: four sentences, front-loaded with the core action, followed by essential usage rules. Every sentence serves a clear purpose without 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?

Given no output schema and minimal parameter documentation, the description lacks completeness: it does not explain return values, detailed behavior of 'complete,' or the structure of signedChunkDetails. While usage guidelines are thorough, the tool's functional contract is insufficiently defined.

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% with no parameter descriptions, and the description adds no meaning for the four required parameters (folderId, communityId, signedUrlId, signedChunkDetails). The description fails to compensate, leaving the agent to infer parameter purposes from the tool name alone.

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 'Complete a multipart folder item upload,' specifying the verb and resource. It distinguishes the tool from siblings like create_folder_item, which initiates uploads. However, it could elaborate on what 'complete' entails in terms of finalizing the upload process.

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 explicit when-to-use guidance: check business permissions, call check_business_tool_access before collecting inputs, handle grace-period warnings, and never proceed when access is blocked. It also states that FREE businesses cannot use this tool, clearly defining exclusion criteria.

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 readOnlyHint=false and destructiveHint=false, so the description correctly adds behavioral context (permission checks, access restrictions) without contradiction.

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 (3 sentences) and front-loaded with the tool's purpose. Every sentence provides necessary 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?

Given the simple input schema (2 required strings, no output schema), the description provides sufficient usage context. It could include parameter details but the names are self-explanatory.

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 adds no meaning to the two string parameters (communityId, customDomainId). It does not explain their format, source, or usage.

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 confirms DNS records for a custom domain in a managed community. It includes necessary prerequisites and distinguishes from siblings like confirm_custom_domain_signup and verify_custom_domain_payment.

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 explicit usage guidelines: check business permissions, free businesses cannot use, call check_business_tool_access before collecting inputs, show warnings and never proceed if blocked. This is comprehensive and sets clear constraints.

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 (readOnlyHint=false, destructiveHint=false) indicate a mutation but not destructive. The description adds context about business permission checks and grace periods, which informs the agent about prerequisites and potential blocking conditions. However, it does not detail what happens upon success or side effects beyond the confirmation, so not a perfect 5.

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 four tightly written sentences, each adding essential information. The purpose is front-loaded, followed by clear usage instructions. No redundant or extraneous 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?

Given the tool has multiple parameters and no output schema, the description is incomplete. It covers usage guidelines well but omits parameter details and return behavior. The agent lacks information on what the output or side effects of a successful confirmation are. This is a significant gap despite the strong guidelines.

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 has 5 parameters with 0% description coverage. The description does not explain any parameter meanings, types, or relationships. While the usage guidelines are helpful, the agent is left to infer parameter semantics solely from the schema, which lacks descriptions. The description fails to compensate for the low schema coverage.

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 confirms a signed custom-domain signup payment for a managed community. The verb 'Confirm' and resource 'custom-domain signup payment' are specific, and the scope 'for a managed community' distinguishes it from sibling tools like 'verify_custom_domain_payment' and 'create_custom_domain_signup'.

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 tells when to use this tool (after checking business permissions and calling check_business_tool_access) and when not to (FREE businesses cannot use it). It also provides step-by-step instructions: check permissions, show grace-period warning and resubscribe link, never proceed if access is blocked. This is exemplary 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?

The description adds valuable behavioral context beyond annotations: revalidates the quote and default method, checks the original signup, sends at most one confirmation request, and never retries an ambiguous charge. This complements the destructiveHint annotation by detailing the safety measures taken.

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 sentences long, with the core action and condition in the first sentence, and supplementary behavioral details in the second. Every sentence adds value without 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?

Given moderate complexity, no output schema, and 0% parameter coverage, the description covers the tool's purpose and behavior well but lacks explanation of the confirmationToken parameter and the return value/outcome of the tool. This is a minor gap.

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 2 parameters (confirmed, confirmationToken) with 0% description coverage. The description provides minimal explanation: it mentions 'pending saved-method plan payment' and 'displayed prepared quote' but does not explicitly map to the parameters or explain their specific roles. The confirmed parameter's const:true is not mentioned.

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 ('Confirm the pending saved-method plan payment'), the resource ('pending saved-method plan payment'), and the condition ('only after the user explicitly approved the displayed prepared quote'). It distinguishes itself from sibling tools like prepare_plan_payment by specifying the prerequisite.

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 explicit guidance on when to use the tool: only after user approval of the prepared quote. It also describes internal steps (revalidates, checks, sends at most one, never retries), implying when not to use (e.g., if charge is ambiguous). However, it does not explicitly list alternatives or when not to use beyond the precondition.

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, non-open-world behavior. The description adds that a specific 'confirm' value is required, which provides some context. However, it does not fully disclose what state changes occur or the impact of a successful confirmation.

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 with two sentences, efficiently conveying the core purpose and a key requirement. However, it could be better structured to separate the confirmation requirement from the main action.

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 5 parameters (2 required), no output schema, and no parameter descriptions, the description is insufficient. It fails to explain the role of 'confirmType', 'signupToken', and other optional parameters, leaving the agent with incomplete guidance 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%, so the description must compensate. It adds meaning for the 'confirm' parameter (must be set to CONFIRM_TIER_CHANGE), but this is misleading because 'confirm' is not required in the schema. Other parameters (signupToken, confirmType, metadata, paymentMethodId) are left 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 clearly states the tool's purpose: 'Confirm a signed plan tier change.' This distinguishes it from siblings like 'change_plan_tier' (which likely initiates the change) and 'confirm_plan_payment' (a different confirmation). The verb 'confirm' and resource 'plan tier change' are 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 implies usage after a plan tier change is signed, but it does not explicitly state when to use this tool or when to avoid it. No alternatives or exclusions are mentioned, though siblings provide context.

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 readOnly=false and destructiveHint=false, so the tool is a mutating operation. The description adds context about permission checks and tier restrictions, which help the agent understand when to proceed. 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 a single paragraph with multiple sentences, each carrying important information. It is relatively concise but could be improved with structured formatting (e.g., bullet points for preconditions).

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 thoroughly covers preconditions and permissions but lacks information on return values, side effects, or what happens after a successful connection. With no output schema, this gap is notable.

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%, yet the description does not explain any of the four required parameters (communityId, businessId, pixelId, accessToken). It only mentions that business and community are interchangeable, which is insufficient for parameter understanding.

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's purpose: 'Connect a Facebook pixel to a managed community.' It also explains that business and community are interchangeable. However, it does not differentiate from the sibling tool 'connect_community_facebook_pixel', which may cause confusion.

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 explicit usage guidelines: check business permissions, note that FREE businesses cannot use this tool, call check_business_tool_access before collecting inputs, and show grace-period warnings. This is comprehensive and actionable.

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 and destructiveHint=false. The description adds important behavioral context: it's a write operation (connecting a pixel) but not destructive, and it emphasizes that free businesses are blocked and permission checks must be done. This goes beyond 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 relatively concise and front-loaded with the main action. However, the sentence 'Business and community refer to the same thing and are interchangeable' could be condensed, and the operational instructions add bulk. Still, it's clear and to the point.

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 no output schema and minimal annotations, the description provides operational context (preconditions and restrictions) but lacks details on parameter meanings and expected return values. For a mutation tool, it covers necessary prerequisites but is incomplete in explaining the full 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 description coverage is 0%, and the description provides no explanation of the four required parameters (communityId, businessId, pixelId, accessToken). The description mentions 'pixel' but gives no semantics or validation details for any 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 description clearly states the action (connect a Facebook pixel to a managed community) and clarifies that 'business' and 'community' are interchangeable. However, it does not differentiate from sibling tools like 'connect_business_facebook_pixel' or 'authenticate_*' 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?

The description provides explicit guidance: check permissions first, call 'check_business_tool_access' before collecting inputs, show grace-period warnings, and never proceed when access is blocked. It also states that FREE businesses cannot use this tool regardless of feature rows. This is comprehensive and actionable.

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 discloses important behavioral traits beyond annotations, such as the requirement to check business permissions and the restriction for FREE businesses. It also describes side effects like showing warnings and resubscribe links. However, it lacks details on success/failure outcomes or irreversible changes.

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 efficient, front-loading the purpose and then providing sequential instructions. It contains no fluff, but the density could be slightly improved with bullet points or clearer separation of steps.

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 covers prerequisites and workflow but omits the output (e.g., success confirmation) and error handling (e.g., domain already in use). For a tool with no output schema and moderate complexity, more context would be beneficial.

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 description does not explain the two required parameters (communityId and customDomainId) beyond what is in the schema. Given 0% schema coverage, the description should provide context (e.g., how to obtain these IDs), but it does not.

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 'Connect an existing custom domain to a managed community,' using a specific verb and resource. It effectively distinguishes itself from sibling tools like 'connect_external_custom_domain' by specifying 'existing' and targeting a managed community.

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 explicit step-by-step guidelines: check business permissions, note FREE businesses are ineligible, call check_business_tool_access before collecting inputs, show grace-period warning and verified resubscribe link, and never proceed when access is blocked. This fully addresses when and how to use the 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 are neutral (no readOnly/destructive hints). The description adds context: it requires business permissions, is blocked for FREE businesses, and mandates pre-checks. This is transparent about access constraints, though it doesn't describe side effects or whether connections can overwrite existing ones.

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 a single paragraph that blends purpose and instructions. It is not extremely verbose but could benefit from clearer separation of what the tool does versus usage conditions.

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 multi-step process (domain connection likely requires DNS verification, payment, etc.), the description omits follow-up steps and return values. It includes crucial pre-checks but lacks completeness about post-connection 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% (no descriptions in schema). The description does not explain the parameters beyond context from the tool name; it fails to provide formats, constraints, or examples for 'domain' and 'communityId'.

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 'connect' and the resource 'externally owned custom domain to a managed community', distinguishing it from sibling tools like 'connect_existing_custom_domain' by specifying 'externally owned'.

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 explicit preconditions: check business permissions, FREE businesses cannot use, call check_business_tool_access, show grace-period warning and verified resubscribe link, and never proceed when blocked. However, it does not explicitly contrast with 'connect_existing_custom_domain' or detail the full workflow.

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 are non-destructive and not read-only. Description adds behavioral context about permissions, free business restrictions, and pre-action checks, exceeding what annotations provide. No contradiction.

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?

Description is efficient, front-loads the purpose, and every sentence adds value. Slightly wordy with preconditions, but these are necessary for safe 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 simple tool (3 params, no nested objects, no output schema), the description covers prerequisites and restrictions well. It does not describe return values or error handling but is sufficient for an agent to invoke 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?

Input schema has 0% description coverage, and the description does not elaborate on any of the three parameters (communityId, pageId, accessToken). It only generically mentions 'inputs', failing to add meaning 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 states a clear verb and resource: 'Connect a Facebook page to the business for Magic Audience.' It distinguishes from sibling tools like disconnect_magic_audience_facebook_page and list_magic_audience_meta_pages.

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 explicit instructions: check business permissions, free businesses cannot use, call check_business_tool_access before collecting inputs, show warnings, and never proceed when blocked. Clearly defines when and when not to use.

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=true and destructiveHint=false. The description adds important behavioral constraints like permission checks, free-tier restrictions, and access preconditions, enhancing transparency beyond 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 five sentences long, with each sentence adding value. It could be slightly more concise but is well-structured and free of 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 11 parameters and no output schema, the description lacks details on filter semantics, pagination, sorting, and return value. The agent cannot fully understand how to invoke the tool without 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 description coverage is 0%. The description does not explain any of the 11 parameters (e.g., role, pageNo, sortBy, segment) beyond referencing 'same filters as manager member list', which is vague. No parameter-level semantics are provided, making it hard for an agent to correctly set 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 tool counts members using the same filters as the manager member list, and clarifies that business/community are interchangeable. However, it does not differentiate from the sibling 'count_community_members_with_filters', which may cause confusion despite the interchangeability note.

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?

Explicit instructions are given: check business permissions, FREE businesses cannot use, call check_business_tool_access before collecting inputs, show grace-period warning, and never proceed when blocked. This provides clear when-to-use and when-not-to-use 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 read-only and non-destructive behavior. The description adds important context: free businesses are blocked, a prerequisite call to check_business_tool_access is required, and grace-period warnings must be shown. This goes beyond the annotations and clarifies constraints.

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 front-loaded with the purpose but then includes a block of procedural instructions that could be separated or streamlined. While not overly verbose, it mixes purpose, terminology clarification, and access restrictions, making it slightly dense.

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 high parameter count, zero schema descriptions, and no output schema, the description is insufficient. It does not explain filter semantics, return format (just a count?), or how this tool differs from list counterparts. The permissions workflow is useful but not enough for complete understanding.

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 does not explain any of the 11 parameters. The agent must rely solely on parameter names like 'role', 'status', 'segment', which are ambiguous without definitions. The description provides no parameter-level details.

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 that the tool counts members matching filters used by the manager member list, which is clear. However, the title says 'Business Members' while the tool name says 'community', and the description claims business and community are interchangeable, which creates confusion and contradicts the existence of a separate 'count_business_members_with_filters' sibling. This reduces clarity.

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 procedural steps (check permissions, call check_business_tool_access, show warnings) but does not specify when to use this tool versus alternatives like list_community_members_for_admin or the sibling count_business_members_with_filters. No guidance on tool selection relative to other similar 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 (readOnlyHint, destructiveHint) are already safe, but the description adds behavioral context: permission requirements, FREE business restriction, grace-period warnings. No contradiction.

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?

Five sentences with clear front-loading of purpose, then actionable guidelines. Every sentence adds value without 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?

Given the simple read-only nature and single parameter, the description covers purpose, usage restrictions, and behavioral prerequisites. No missing necessary info.

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?

Only one parameter (communityId) with 0% schema description coverage. The description only mentions 'for a managed community' which hints at the parameter's role but doesn't explain format or required scope. Adequate but minimal addition.

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 'Count Magic Reach opt-outs for a managed community' with a specific verb and resource. It clearly distinguishes from siblings like count_magic_reach_recipients.

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?

Explicitly provides when to use (after checking permissions), when not to use (FREE businesses cannot), and alternative action (check_business_tool_access). Also specifies warnings and resubscribe link.

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=true and destructiveHint=false, which the description does not contradict. The description adds valuable behavioral context: FREE businesses are blocked regardless of feature rows, a mandatory preflight call to check_business_tool_access is required, and grace-period warnings plus verified resubscribe links must be shown. This goes beyond annotation data, though it does not detail the return format or edge-case behaviors.

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 first sentence is a concise, front-loaded purpose statement. The subsequent permission instructions are necessary but slightly verbose, repeating the 'before collecting inputs' idea twice. It could be tightened, but each sentence carries operational significance, making it more than just 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 having six parameters and no output schema, the description does not explain what the count result looks like, how filters combine, or what a 'message selection' entails. The permission-checking context is thorough, but the core counting behavior and parameter semantics are under-specified, leaving significant gaps for an agent to use the tool 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 description coverage is 0%, and the description does not mention any of the six parameters (communityId, bucketFilters, selectedUsers, selectedBuckets, unselectedUsers, selectedMembershipTiers). It fails to provide any guidance on what these inputs mean or how they relate to the 'message selection' concept, leaving the agent to rely solely on parameter 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 clearly states the action ('Count recipients') and the resource ('Magic Reach message selection'), which distinguishes it from sibling tools like count_magic_reach_opt_outs (counts opt-outs) and list_magic_reach_message_recipients (lists recipients). The verb and target are specific and 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 provides clear context on when to use the tool: it must only be offered after checking business permissions via check_business_tool_access, and it explicitly says never to proceed when access is blocked. However, it does not explicitly name alternative tools (e.g., use search_magic_reach_recipients for a preview or export_magic_reach_message_recipients_csv for CSV export), so it falls 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?

The description adds important behavioral context about permission checking, which is beyond what annotations provide (readOnlyHint: false, destructiveHint: false). However, it does not explain what 'signed' means or the result of creation.

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 with the core action, followed by necessary conditions. Every sentence adds value without 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?

While permission handling is thoroughly covered, the description lacks information about the return value or side effects of creating the chat. Given the low complexity (2 simple parameters, no output schema), the description is incomplete regarding post-conditions.

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 does not explain the purpose of the two parameters ('communityId' and 'message') beyond general context. The description fails to add meaning to the parameters.

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 'Create a signed AI Cofounder chat', using a specific verb and resource. It distinguishes from sibling tools like 'list_ai_cofounder_chats' and 'send_ai_cofounder_message'.

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 explicit instructions on when to use this tool: check business permissions, call 'check_business_tool_access' before collecting inputs, show grace-period warnings, and never proceed when access is blocked. It also states that FREE businesses cannot use 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 have no additional hints beyond non-read-only and non-destructive. The description reveals it creates a version and requires access checks, but lacks detail on the effect on other resources or the creation process.

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 with three sentences: first states purpose, the rest provide critical usage guidelines. No unnecessary words, and key 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?

The description lacks explanation of what a template version is, the relationship between chatId and version, and the output. It focuses heavily on access control but omits essential semantics for a tool with an undocumented 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?

Schema coverage is 0% and the description does not explain any of the three parameters (communityId, chatId, version). The agent gets no help on what values to provide.

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 'Create a new AI Cofounder template version,' which is a specific verb+resource. It distinguishes from siblings like get_ai_cofounder_template_version and update_ai_cofounder_template by its creation action.

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 explicit guidance: check business permissions, FREE businesses cannot use, call check_business_tool_access, show grace-period warning, and never proceed when blocked. This clearly tells when and how to use the 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 indicate this is a mutation (readOnlyHint=false) but not destructive. The description adds context about permission checks and restrictions on free businesses, but does not disclose side effects like overwriting existing codes, success/failure behavior, or error states. Some behavioral insight is provided, but gaps remain.

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 front-loaded with the purpose and then provides ordered instructions. It is concise (~120 words) but could be tighter by merging some sentences. The structure is logical and effective for guiding preconditions.

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 14 parameters, no output schema, and no parameter descriptions, the description is incomplete. It focuses only on preconditions without explaining parameter usage, input constraints, or expected return values, leaving the agent underinformed 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?

With schema description coverage at 0% and no parameter details in the description (e.g., meaning of 'type', 'value', 'discountScope'), the agent receives no added semantic context. The description fails to compensate for the schema's lack of descriptions, leaving parameters opaque.

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 creates a discount code for a managed community and clarifies the interchangeability of 'business' and 'community'. However, it does not differentiate from the sibling tool 'create_community_discount', which likely serves the same purpose, leaving ambiguity about when to use which.

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 explicit prerequisites: checking business permissions, excluding FREE businesses, calling 'check_business_tool_access' before collecting inputs, and handling grace-period warnings. It clearly states when not to proceed (blocked access), offering strong guidance for proper invocation.

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?

Beyond annotations (write, not destructive), the description adds important behavioral context: it requires specific permissions, cannot be used by FREE businesses, and mandates pre-checks and warnings. This is valuable transparency, though it omits post-creation behavior or return 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?

The description is concise at 6 sentences, with the purpose upfront followed by preconditions. The claim about business/community interchangeability is somewhat redundant but not overly 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?

Given the complexity (3 parameters, nested object, no output schema), the description is incomplete. It lacks parameter explanations and does not describe the tool's outcome or return value. The preconditions are well-covered, but essential usage details are missing.

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 fails to explain any of the three parameters (communityId, payoutAccountType, metadata). It provides no additional meaning, leaving the agent to interpret parameter names without context.

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 'Create payout account configuration for a managed community,' identifying the action and resource. However, the statement 'Business and community refer to the same thing' may cause confusion with the sibling tool create_community_payout_account, slightly reducing clarity.

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 explicit preconditions: check business permissions, FREE businesses cannot use, call check_business_tool_access, and show grace-period warnings. However, it does not distinguish when to use this tool versus alternatives like create_community_payout_account or create_business_payout_on_demand.

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 provide minimal info (not read-only, not destructive). The description adds critical behavioral traits: confirm parameter requirement, free business restriction, need to check access, and conditionally proceeding with warnings. This goes well beyond annotations and prevents misuse.

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 a single paragraph of 6 sentences, front-loading purpose then guidelines. It is concise but could benefit from more structured format (e.g., bullet points for guidelines). Still, every sentence adds value with little 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?

While access control and prerequisites are covered, the description lacks information about return values, parameter roles (e.g., latestTransactionId), and the overall payout creation process. Given no output schema and 0% parameter coverage, the description is incomplete for a tool of this complexity.

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 the description only adds meaning for the 'confirm' parameter (must be CREATE_PAYOUT). It does not explain 'currency', 'communityId', or 'latestTransactionId'. Given 4 parameters with 3 required, the description fails to compensate for the missing schema descriptions.

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 creates an on-demand payout for a community owner, with specific verb 'Create' and resource 'payout'. It distinguishes from sibling tool 'create_community_payout_on_demand' by clarifying that 'Business and community refer to the same thing and are interchangeable', avoiding confusion.

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 explicit usage guidelines: requires confirm parameter set to CREATE_PAYOUT, check business permissions, FREE businesses cannot use, call check_business_tool_access before inputs, show warnings and verify resubscribe link, and never proceed when blocked. This gives clear when-to-use and 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 are minimal (readOnlyHint=false, destructiveHint=false). The description adds that this is a creation action involving permission checks, business eligibility restrictions, and requirement to display warnings. However, it does not disclose return values or side effects beyond creation. This is adequate but not fully comprehensive.

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 (two sentences), with the first sentence stating purpose and the second providing usage guidelines. It is front-loaded and efficient. Minor improvement could be separating preconditions into a clearer list, but it is well-structured for its length.

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 complex (22 parameters, nested objects, 3 required, no output schema). The description covers preconditions well but omits parameter semantics, return value, error handling, and what constitutes a successful creation. This leaves significant gaps for the agent to use the tool 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 description coverage is 0%, yet the description provides no semantic meaning for any of the 22 parameters (3 required). For example, it does not explain communityId, title, challengeType, or other fields. The agent must rely solely on the schema's type and constraint information, which is insufficient for correct invocation.

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 that the tool creates a challenge product for a community managed by the authenticated user. The verb 'create' and resource 'challenge product' are specific, and the action is distinct from sibling tools (e.g., create_event, create_business_discount).

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 explicit preconditions: check business permissions, FREE businesses cannot use, call check_business_tool_access before collecting inputs, show grace-period warning and verified resubscribe link, and never proceed when access is blocked. It also names a related tool (check_business_tool_access) for verification.

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 behavioral context beyond annotations by detailing permission checks and access blocks. Annotations indicate this is a mutating (readOnlyHint=false) but non-destructive action. The description does not contradict annotations and adds value by explaining preconditions for safe usage.

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 at 6 sentences and front-loads the purpose. However, the structure could be improved by separating the purpose from usage guidelines for readability. It is efficient but not perfectly organized.

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 complex tool with 14 parameters and no output schema, the description is incomplete. It lacks parameter semantics, return value information, and any example usage. The strong usage guidelines partially compensate, but overall the tool definition leaves significant 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 14 parameters and 0% schema description coverage, the description fails to explain any parameter semantics. It does not clarify fields like code, type, value, timezone, etc., leaving the AI agent to rely entirely on the schema, which lacks descriptions.

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 'Create a discount code for a managed community' and clarifies that 'business' and 'community' are interchangeable. However, the title 'Create Business Discount' and tool name 'create_community_discount' may cause initial confusion, slightly reducing clarity.

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 states when to use the tool, including prerequisites: check business permissions, FREE businesses cannot use, call check_business_tool_access before collecting inputs, and show grace-period warnings. It provides clear instructions on when not to proceed, making it highly actionable for an AI 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 indicate readOnlyHint=false and destructiveHint=false. The description adds that this tool creates a configuration and includes important prerequisites about free business restrictions and permission checks. This contextualizes the behavior beyond 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 concise and front-loaded with the core purpose. It includes essential usage guidelines without unnecessary fluff. The one redundancy ('Business and community...') is acceptable for clarity.

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?

While usage guidelines are strong, the description lacks parameter semantics and return value information. Given no output schema and 0% parameter coverage, more detail on inputs and outputs is needed for full 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?

Schema coverage is 0% and the description provides no explanation of the parameters (communityId, payoutAccountType, metadata). It does not add meaning beyond the schema's type constraints. For a tool with 3 parameters and nested objects, this is a significant 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 clearly states the tool creates a payout account configuration for a managed community. The additional note that 'Business and community refer to the same thing' clarifies potential confusion, though it does not explicitly distinguish from similar tools like create_business_payout_account.

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 explicit guidance: check business permissions, call check_business_tool_access before inputs, show grace-period warning and verified resubscribe link, and never proceed when access is blocked. This fully helps an agent decide when to use 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?

The description discloses multiple behavioral traits beyond annotations, such as the confirmation requirement, interchangeable business/community terminology, permissions checks, free business restriction, and grace-period handling. This adds significant value over the minimal annotations (readOnlyHint: false, destructiveHint: false). 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 concise with no wasted words, front-loading the purpose and key requirements. However, it could be more structured (e.g., bullet points for preconditions) to improve readability.

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 covers important usage context (prerequisites, permissions, free business exclusion) and advises on prerequisite checks. However, it lacks information about the return value or expected output, and the parameter documentation is incomplete, leaving gaps for the 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 input schema has 0% description coverage, and the description only addresses the 'confirm' parameter (must be set to CREATE_PAYOUT). Other parameters (communityId, currency, latestTransactionId) are not explained, leaving the agent to infer their meaning from names and context alone.

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 it creates an on-demand payout for a community owner, with a specific verb and resource. It also clarifies that business and community are interchangeable, distinguishing it from the sibling tool 'create_business_payout_on_demand'.

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 explicit preconditions: requires confirm set to CREATE_PAYOUT, check business permissions, FREE businesses cannot use, call check_business_tool_access, and show grace-period warnings. It does not, however, describe when to use alternatives or when not to use it beyond the free business restriction.

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 only indicate non-read-only, non-destructive, and non-open-world hints. The description adds significant behavioral context: requires pre-authorization, business tier restrictions, and sequential steps. It does not contradict 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?

Description is 5 sentences, front-loaded with purpose, then key usage guidelines. No fluff or redundancy. Every sentence adds value.

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 14 parameters, no output schema, and many siblings, the description is incomplete. It lacks parameter explanations, return value description, and the overall flow (e.g., relationship to confirm_custom_domain_signup). Essential for a complex creation 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?

Schema coverage is 0%, meaning no parameter descriptions exist. The description does not explain the meaning or usage of any of the 14 parameters (e.g., domain, timezone, items). This is a critical gap for a tool with many parameters.

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 creates a signed custom-domain signup for a managed community. It uses a specific verb and resource, and distinguishes itself from siblings like confirm_custom_domain_signup, which handles confirmation.

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?

Explicitly instructs to check business permissions and call check_business_tool_access before proceeding. Warns that FREE businesses cannot use the tool, and mandates showing grace-period warnings and verified resubscribe links. Provides clear when-to-use and when-not-to-use 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?

The description discloses behavioral traits such as creating a draft event (write operation) and the need for permission checks. It does not contradict annotations (readOnlyHint=false). It adds context about business restrictions beyond what annotations provide, though it omits details on side effects or error handling.

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 moderately concise and well-structured, with each sentence contributing value. However, it has slight redundancy (e.g., 'before offering this action' and 'before collecting inputs'). The critical 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?

Given the high complexity (29 parameters, nested objects, no output schema), the description is incomplete. It focuses heavily on preconditions but fails to document the parameter semantics, return values, or the draft event structure. The agent lacks necessary details to use the tool 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 description coverage is 0%, and the description does not explain any of the 29 parameters. It only provides high-level context about the tool's purpose. The agent is left without guidance on how to use the parameters, making it difficult to construct a valid request.

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 ('create'), the resource ('draft event'), and the context ('for a community managed by the authenticated Nas.com user'). It distinguishes from sibling tools like 'publish_event' by specifying 'draft' and outlines critical prerequisites.

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 explicit guidance on when to use this tool: it requires checking business permissions via 'check_business_tool_access', warns that FREE businesses cannot use it, and instructs to show grace-period warnings and never proceed when access is blocked. It names a specific sibling tool to call first.

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 destructiveHint=false, so the description's focus on creation is consistent. It adds valuable context about permission checks and access restrictions, but does not detail return values or error handling, which would be helpful.

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 a single paragraph that is mostly front-loaded with purpose and then provides conditional usage steps. It is concise but could benefit from breaking into separate sentences or bullet points for clarity.

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 omits what the tool returns (no output schema) and does not describe the result or side effects beyond 'Create'. For a tool with 19 parameters, more context about expected outcomes or examples 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?

Schema description coverage is 0%, yet the description does not explain any of the 19 parameters. It focuses entirely on usage preconditions, leaving the meaning of fields like icon, link, size, and others entirely to the schema, which has no descriptions.

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 'Create' and the resource 'an item inside a folder-backed product', distinguishing it from sibling tools like delete_folder_item, update_folder_item, and reorder_folder_items.

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 explicit guidance on when to use the tool: after checking business permissions, calling check_business_tool_access, and handling grace periods and resubscribe links. It also states that FREE businesses cannot use this tool, clearly defining exclusions.

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