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

No annotations are provided, so the description carries the full burden. It mentions the tool creates a badge template with optional fields, but lacks critical behavioral details such as required permissions, whether creation is idempotent (hinted by idempotency_key but not explained), rate limits, or what happens on failure. The description does not contradict annotations since none exist.

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 purpose in the first sentence, and the second sentence adds useful context about subsequent issuance. It is appropriately sized with two sentences and no redundant information, though it could be slightly more structured 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?

Given the complexity (11 parameters, no annotations, no output schema), the description is incomplete. It lacks details on behavioral traits like permissions or error handling, does not explain the return value or what happens after creation, and relies heavily on the schema for parameter documentation without compensating for missing contextual information.

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 100%, so the schema already documents all 11 parameters thoroughly. The description adds minimal value by mentioning 'optional custom fields and branding,' which loosely maps to custom_fields and badge_logo_path, but does not provide additional syntax, format, or usage details beyond what the schema provides.

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

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

The description clearly states the action ('Create a new badge template') and the resource ('badge'), specifying it includes optional custom fields and branding. It distinguishes from siblings by focusing on template creation rather than retrieval (get_all_badges), issuance (issue_badge), or validation (validate_key).

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

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

The description implies usage by mentioning the badge can be issued to recipients afterward, which suggests a workflow context. However, it does not explicitly state when to use this tool versus alternatives like issue_badge or get_all_badges, nor does it mention 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It adds some context by specifying that it returns a list with IDs and names, which is useful beyond the input schema. However, it lacks details on authentication requirements, rate limits, pagination, or error handling, leaving gaps for a tool that interacts with organizational data.

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

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

The description is two sentences that are front-loaded and efficient, with no wasted words. The first sentence states the purpose, and the second adds key behavioral context about the return format, making it appropriately sized and 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 the tool's simplicity (one optional parameter, no output schema, no annotations), the description is adequate but has clear gaps. It explains the return format but doesn't cover authentication, error cases, or how the tool fits into the broader context with sibling tools. For a retrieval tool, this is minimal viable but not fully comprehensive.

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

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

The input schema has 100% description coverage, with the 'limit' parameter fully documented in the schema. The description does not add any parameter-specific information beyond what the schema provides, such as default behavior or usage tips. This meets the baseline of 3 since the schema handles the heavy lifting.

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 ('Retrieve') and resource ('all available badges for the authenticated organization'), making the purpose unambiguous. It distinguishes from siblings like 'create_badge' and 'issue_badge' by focusing on retrieval rather than creation or issuance. However, it doesn't explicitly differentiate from 'validate_key', which might be a different operation.

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

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention when to use 'get_all_badges' over other retrieval methods or tools, nor does it specify any prerequisites or exclusions. The context is implied but not explicit.

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

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

With no annotations provided, the description carries full burden. It discloses key behavioral traits: creation of a digital certificate and sending of notification emails with verification URLs. However, it doesn't mention permissions needed, rate limits, whether the operation is idempotent (though idempotency_key parameter hints at this), or error handling. The description adds value but leaves gaps for a mutation tool.

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 concise sentences that front-load the core purpose and outcomes. Every word earns its place with no redundancy or fluff, making it highly efficient for quick comprehension.

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 mutation tool with 6 parameters, no annotations, and no output schema, the description is adequate but incomplete. It covers the main action and outcomes but lacks details on permissions, errors, or return values. Given the complexity and missing structured data, it should provide more behavioral context to be fully helpful.

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 100%, so the schema already documents all 6 parameters thoroughly. The description doesn't add any parameter-specific details beyond what's in the schema (e.g., it doesn't explain badge_id sourcing further or metadata usage). Baseline 3 is appropriate when schema does the heavy lifting.

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 specific action ('issue a badge'), the target ('to a recipient'), and the outcomes ('creates a digital certificate and sends notification email with verification URL'). It distinguishes from sibling tools like create_badge (which creates badge definitions) and get_all_badges (which lists badges).

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 context (issuing badges to recipients) but doesn't explicitly state when to use this tool versus alternatives like create_badge. It mentions getting badge_id from get_all_badges or create_badge, which provides some guidance but not explicit when/when-not rules or comparisons to siblings like validate_key.

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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool validates API keys for authentication testing, which implies a read-only, non-destructive operation. However, it doesn't disclose important behavioral details like rate limits, error responses, or what specific validation checks are performed (e.g., format validation, authentication against server).

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 perfectly concise with two sentences that each earn their place. The first sentence states the purpose and resource, while the second provides explicit usage guidance. There's zero wasted text, and the information is front-loaded with the core functionality.

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

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

For a single-parameter authentication validation tool with no output schema, the description provides good context about what the tool does and when to use it. However, it doesn't describe what the validation result looks like (e.g., returns success/failure, error messages) or any prerequisites beyond having an API key. Given the tool's relative simplicity, the description is mostly complete but could benefit from output information.

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 100%, with the single parameter 'api_key' well-documented in the schema. The description doesn't add any parameter-specific information beyond what the schema already provides about the API key format and purpose. The baseline score of 3 is appropriate when the schema does the heavy lifting for parameter documentation.

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

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

The description clearly states the specific action ('validate') and resource ('IssueBadge API key') with explicit purpose ('for authentication' and 'test if your API credentials are working correctly'). It distinguishes from siblings like create_badge, get_all_badges, and issue_badge by focusing solely on authentication testing rather than badge operations.

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 this tool: 'Use this to test if your API credentials are working correctly.' This provides clear context for usage (authentication testing) and implicitly distinguishes it from sibling tools that perform badge-related operations rather than credential validation.

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