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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds real value by disclosing that include_callvu_responses injects Callvu status and claim codes per requirement, but it says nothing about output size, pagination or whether the verified-buyer key gates that 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?

Content is front-loaded: what the artifact is, then what it contains, then when to use it, then the optional flag. The opening sentence is a long dense clause chain, but every phrase carries information and nothing is redundant.

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?

There is no output schema, and the description compensates by enumerating the returned sections (requirements with priority and evidence, regulations, scoring rules, red flags, proof test). For a zero-required-parameter read tool with full schema coverage, this is close to complete; only return-format and size expectations are left implicit.

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%, so all three parameters are already documented, making 3 the baseline. The description reinforces the include_callvu_responses behavior and explains that omitting vertical yields core requirements plus the vertical list, but adds no format or slug-resolution detail 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 names a specific artifact (a vendor-neutral RFP template and requirements checklist) and enumerates exactly what it contains: core plus vertical-specific requirements, priority (Must/Should), required evidence, regulations to enforce, scoring rules, red flags and a live proof test. That lets an agent distinguish it from a plain requirements lookup, though it never explicitly contrasts itself with get_requirements.

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 trigger list is explicit: 'Use it when a user asks for an RFP, RFI, requirements checklist, vendor evaluation criteria or scorecard.' That covers the common activating requests. It stops short of naming alternatives (e.g., get_requirements or get_procurement_pack) or stating 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.