analyze_bid_potential

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

No annotations are provided, so the description must carry the burden. It states the tool is AI-powered and returns a score/recommendation, but does not disclose limitations, latency, error handling, or potential reliability issues. The description adds minimal behavioral context beyond the function name.

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?

Two sentences: first explains the core function and adds 'AI-powered' context, second lists outputs. No wasted words, key information front-loaded.

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 no annotations or output schema, the description reasonably covers inputs (noticeId required, companyProfile optional) and outputs (score, recommendation, strengths, risks). It could mention error scenarios or output structure, but is adequate for its complexity.

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%, with both parameters described (noticeId as SAM.gov notice ID, companyProfile as brief company description). The description adds 'AI-powered' but no additional parameter meaning. Baseline 3 is appropriate.

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 performs AI-powered bid/no-bid analysis for government contract opportunities, and lists specific outputs (score, recommendation, strengths, risks). It distinguishes itself from sibling tools (get_opportunity_details, search_opportunities) which are for retrieving details and searching, not analysis.

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 implies usage when a bid recommendation is needed, but does not explicitly state when to use or not use this tool versus alternatives. However, sibling tools have different purposes, so context is reasonably clear.

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