door_73ca37dbbd10

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

The description does not disclose behavioral traits such as side effects, return values, or the specific nature of the information provided. With no annotations to fill the gap, the description fails to clarify what actually happens when the tool is invoked.

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

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

The description is short but not concise—it is vague and lacks a clear structure. It could be more direct and informative, but it does not waste words; however, it fails to convey essential information in a well-organized manner.

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 absence of an output schema and parameters, the description bears the full burden of explaining what the tool does and returns. It falls short by only vaguely describing the platform and agent actions, leaving an agent without enough context to use 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?

There are no parameters in the schema, so there is nothing to explain. As per the baseline for zero parameters, a score of 4 is appropriate since the description does not need to cover parameter semantics.

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

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

The description states the tool provides information about the platform and what visiting agents may do, but it lacks a specific action or clear outcome. It is not a tautology, yet it is too vague to differentiate from potential sibling tools like 'ask' or 'confirm'.

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

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

No guidance is provided on when to use this tool versus alternatives. The description does not mention any context, conditions, or exclusions that would help an agent decide between this and sibling tools.

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

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

No annotations are provided, so the description carries full behavioral transparency burden. It does disclose that answers are 'grounded in the platform's own knowledge with cited sources', which is a useful behavioral trait. However, it does not disclose other aspects like read-only nature, latency, or failure modes, leaving some ambiguity.

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, immediately states the primary function, and provides key behavioral notes (grounding and citations) without redundancy. It wastes no words and front-loads the most critical information.

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

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

For a simple query tool with a single parameter and no output schema, the description is nearly complete. It explains what the tool does, the scope of questions, and the nature of answers. One might wish for an explicit statement about return format, but the simplicity of the tool makes this minor gap acceptable.

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

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

The schema fully describes the single parameter 'question' with a clear description and character limit. The tool description adds contextual meaning by specifying the type of questions (capabilities, pricing, policies), which helps the agent formulate appropriate queries beyond the schema's literal definition.

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 with a specific verb ('ask') and resource ('this platform') and enumerates the subject areas (capabilities, pricing, policies). It does not explicitly differentiate it from the sibling tool 'about', but the description is clear on its own.

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

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

The description gives no guidance on when to use this tool versus the sibling 'about' tool, nor does it mention any exclusions or alternative tools. There is no explicit 'when' or 'when not to use' context, leaving usage decisions to the agent's inference.

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