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

Read-only intent is already covered by annotations, and the description adds useful behavioral context: it returns composite pricing intelligence from Stratalize, includes a concrete output example, and discloses the $0.10 USDC per-call cost. This goes beyond the annotations without contradicting 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 appropriately sized and front-loaded: the usage context and return summary come first, followed by a concrete illustrative example, then source and pricing. Every sentence adds practical value, and the example is dense with actionable detail.

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 description covers usage, output contents, a worked example, source, and cost, which is substantial for a read-only single-parameter tool. However, without an output schema or a defined set of valid category values, an agent is left to infer the exact accepted input vocabulary beyond the CRM example.

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 has 0% description coverage and no enums, so the description must carry the meaning of the 'category' parameter. It does signal that category refers to a software category and gives 'CRM' as an example, but it does not enumerate acceptable category values or explain the expected format, leaving room for an agent to guess.

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 a specific use case ('evaluating a new software purchase or reviewing a vendor quote for hidden costs') and lists concrete outputs: pricing models, hidden cost patterns, implementation cost ranges, and budget guidance. It is more specific than a generic intelligence tool, but it does not explicitly differentiate itself from related sibling tools like get_saas_negotiation_playbook or get_vendor_contract_intelligence.

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 a clear trigger condition: use it when evaluating a new software purchase or reviewing a vendor quote for hidden costs. It does not provide explicit when-not-to-use guidance or name alternative tools, so it stops one step short of a 5.

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