barnir-hired

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

With no annotations, the description must carry behavioral disclosure. 'Public' usefully signals no authentication/private context, and the colon list describes the returned content, but side effects, response format, and access limitations are not addressed.

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?

One compact sentence leads with the verb and object, then uses a colon to enumerate the guidance's contents. Every phrase earns its place and there is no padding.

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 one-parameter lookup with full schema coverage, the description provides enough context to invoke the tool correctly: what it returns and what the role parameter represents. It does not link to sibling tools or describe the output format, but those are secondary for this straightforward guidance endpoint.

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

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

Schema coverage is 100% and the single 'role' parameter is already documented with its allowed values. The description's 'one technical-GTM role' adds no new meaning beyond what the input schema provides, so it stays at the baseline.

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 names a specific verb ('Get'), a resource ('public positioning guidance for one technical-GTM role'), and the exact contents ('what it is, what the hiring manager screens for, and how to think about fit'). It clearly distinguishes this from listing roles or explaining how the process works.

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

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

The phrase 'for one technical-GTM role' implies this is a single-role lookup rather than a general overview, but the description does not explicitly mention when to prefer it over list_roles or how_it_works and gives no 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, the description carries the full burden. It clearly indicates the tool is informational ('Explain...') and specifies the content areas it will cover. No side effects or hidden behaviors are evident, and the verb itself signals a read-only explanatory action.

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

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

The description is a single, focused sentence that front-loads the primary action and then lists the key topics efficiently. Every word contributes to conveying the tool's purpose with no repetition or filler.

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

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

For a zero-parameter informational tool with no output schema, the description covers the essential dimensions: what the tool does, when to use the product, privacy stance, and where to run analysis. It is adequate, though it could briefly mention how this tool relates to the sibling tools for fuller orientation.

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

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

The tool has zero parameters, so the description is not expected to elaborate on parameter meaning. The baseline of 4 applies since no parameter documentation is needed and the description's content is entirely independent of inputs.

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

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

The description uses a specific verb ('Explain') and a clear resource ('what Barnir Hired does') with additional covered topics. It is distinct from the sibling tools in subject matter, though it does not explicitly name or differentiate itself from get_role_guidance or list_roles.

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: an agent would call this tool when it needs a general explanation of Barnir Hired, its use cases, privacy stance, and analysis workflow. However, it provides no explicit when-to-use versus alternatives or exclusion guidance, leaving the selection to inference.

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

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

With no annotations, the description carries the burden of behavioral disclosure. It communicates that the tool returns a list of roles with explanatory and screening-related content, and the verb 'List' implies a non-mutating operation. However, it does not explicitly state whether any permissions are needed or if the response is a formatted summary, though these are minor for a simple listing 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 a single, focused sentence that front-loads the action ('List') and then defines the scope and content. Every phrase adds value—there is no fluff or repetition of the tool name.

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 zero-parameter tool with no output schema, the description explains what the result will include. It does not specify the exact return structure or any limitations (e.g., whether roles are sorted), but the low complexity makes this a minor gap, not a blocker.

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

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

The tool takes zero parameters, so the input schema is already complete and no parameter-usage explanation is needed. The description adds useful context about what the returned list will contain, which is more than the empty 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 verb 'List', the resource ('technical go-to-market roles Barnir Hired covers'), and the content of the result (role descriptions and what hiring managers screen for). This makes the tool's purpose immediately discernible and distinct from sibling tools like get_role_guidance, which implies a more targeted lookup.

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 does not provide any guidance on when to use this tool versus get_role_guidance or how_it_works. No explicit context, exclusions, or alternative routing is given; the agent must infer usage from the name and description alone.

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