lead_qualifier_qualify_lead

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

No annotations are provided, so the description carries full burden. It describes the tool as producing output ('Produces an...'), implying a read-only or computational action, but does not confirm whether it modifies state, requires authentication, or has side effects. The absence of safety disclaimers is a significant gap.

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, well-structured sentence (20 words) that immediately conveys the core deliverable. Every word adds value, with no redundancy 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?

Given the tool's complexity (7 parameters, 4 required, no output schema), the description is too sparse. It does not explain how parameters like 'fit_context' or 'seller_website' influence the qualification, nor does it describe the return structure (e.g., how the score, timing, and priority are formatted). For a qualification tool, users would benefit from examples or edge-case behavior.

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 71%, and the description adds no parameter-level information beyond what the schema already provides. The description mentions 'ICP-grounded' but does not elaborate on how specific parameters like 'fit_context' or 'seller_website' contribute. Baseline 3 is appropriate since schema descriptions do most of the work.

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 produces an 'ICP-grounded qualification' with specific outputs (fit score, timing assessment, priority recommendation). It distinguishes from sibling 'lead_qualifier_render_qualification_html' by implying this tool generates the raw data, not the rendered report. However, it could be more explicit about the resource being qualified (e.g., a lead or company).

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 explicit guidance on when to use this tool versus alternatives. It implies use for ICP-based lead qualification but does not state when not to use it, nor does it reference sibling tools like 'prospect_finder_find_and_rank_prospects' or 'prospect_research_research_prospect' that might be more appropriate for earlier stages.

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