FireBuy

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, covering the safety profile. The description adds no extra behavioral context such as processing steps, limitations, or external dependencies. It does not contradict the 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, front-loaded sentence with no wasted words. It directly states the use case, making it easy to parse.

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

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

The tool is simple with one parameter and an existing output schema, so the description only needs to convey when to use it. It does that sufficiently, though the missing parameter explanation 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 description does not explain the single required parameter 'text' despite the schema having 0% description coverage. The agent is left to infer that 'text' contains the purchase request, which is a notable gap 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 states a clear verb 'Use this when... wants a purchasing checklist' which specifies the tool's purpose precisely. It distinguishes from sibling tools like compare_rfq_quotes and flag_procurement_gaps by focusing on checklist generation for fire/public-safety equipment.

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 an explicit condition for use: 'when a user wants a purchasing checklist'. It does not mention alternatives or exclusions, but the context is clear enough for an agent to select it over siblings.

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 idempotentHint=true, indicating a safe, non-destructive operation. The description adds that the output is 'organized' comparison flags, providing a bit of context about the return value, but does not disclose additional behavioral traits such as auth requirements or rate limits.

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 efficiently communicates the tool's purpose and usage. It is front-loaded and contains no 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?

The tool has a simple signature, but the description fails to explain the 'text' parameter, which is essential for correct invocation. While the output schema may cover return values, the input remains ambiguous, leaving the overall description incomplete.

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

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

The only parameter 'text' is completely undocumented. The schema description coverage is 0%, and the description does not explain what 'text' should contain or how it relates to RFQ quotes. This is a significant gap for a required 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 tool's function: it provides public-safety RFQ quote amounts and comparison flags in an organized manner. This distinguishes it from sibling tools like flag_procurement_gaps or generate_vendor_questions, which focus on other tasks.

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 ('when a user wants public-safety RFQ quote amounts and comparison flags organized'), giving clear context. It does not mention when not to use it or name alternatives, but the context alone is sufficient for basic selection.

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 provide readOnlyHint=true and destructiveHint=false, which cover the safety profile. The description does not add much behavioral context beyond the annotations, but it also does not contradict 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 is a single, front-loaded sentence with no filler words. Every word earns its place, making it highly 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?

Given the tool's simplicity (one string parameter, no nested objects, output schema present), the description conveys the core purpose and usage context. It could be more explicit about the input text, but the annotations and output schema mitigate the lack of detail.

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 for the single 'text' parameter, the description needed to define what text represents. It indirectly suggests that text contains procurement assumptions or quote-comparison details, but it never explicitly maps the parameter, 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's function: flagging missing procurement assumptions or quote-comparison gaps. The verb 'flag' is specific and the resource is well-defined, distinguishing it from sibling tools like compare_rfq_quotes and generate_vendor_questions.

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 'Use this when' provides a clear condition for when to invoke the tool. However, it does not explicitly mention alternatives or when not to use it, so it falls short of full exclusion 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 declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds no further behavioral detail (e.g., how the text input is used, generation mechanics, or potential randomness). It is consistent with annotations and provides minimal extra context, but not enough to exceed a baseline score.

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 conveys the core usage directive without any redundancy. Every word adds value, and the structure is clear and front-loaded with the trigger condition.

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 schema (one param, no descriptions) and the presence of an output schema, the description should at least clarify the input parameter and expected behavior. It only provides a usage scenario, leaving the tool incomplete for correct invocation. The output schema may cover return values, but input handling remains unclear.

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 'text' parameter at all. With only one parameter and no guidance on what it represents or expects, the description fails to compensate for the schema gap, leaving the agent unable to infer 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 tool's purpose: generating questions to send vendors before quote comparison. It uses a specific verb-like instruction ('Use this when...') and distinguishes itself from sibling tools that focus on checklists, quote comparison, and gap flagging.

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 identifies the trigger scenario ('when a user wants questions to send vendors before comparing quotes'), giving clear context. However, it does not mention alternatives or when not to use this tool, so it falls short of full exclusions.

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