Business Analyze

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

Annotations declare openWorldHint=true, readOnlyHint=false, destructiveHint=false. The description adds the cost context (2 MESH/call) which is useful, and clarifies it's a reasoning/analysis tool. However it doesn't disclose what the 'structured recommendation' looks like (does it return a plan, a decision tree, a cost-benefit table?), whether follow-up refinement is possible, or whether the output supports multiple passes. With annotations present covering the safety profile, the description adds moderate value but could state more about the recommendation format.

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 dense sentence that front-loads the core purpose, includes the cost, input format, and heritage context (original api.meshtool.ai capability). Each phrase earns its place, though the '(2 MESH/call, a tool · reasoning)' suffix is somewhat meta/noisy and could be trimmed. Still, it's compact and efficient.

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 takes freeform business context and returns an unstructured recommendation with no output schema. Given the open-ended nature, the description reasonably covers the main use case. However, it doesn't clarify whether the recommendation is a single definitive answer or a multi-step plan, when a simpler sibling (like task-analysis) might be preferred, or what quality/citation guarantees exist. For a generic analysis tool, this is adequate but could add boundary guidance.

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% (only 1 top-level param, 'input', well documented with its nested goal/context/constraints fields). The description adds value by clarifying required input is 'context: string' in plain language. However, the description only mentions the required context field and doesn't explain the optional goal and constraints parameters, which are already documented in the schema. With full schema coverage, 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 states a specific verb ('Analyze') plus resource ('any business situation') and clearly explains the output ('get a structured recommendation back'). It also names the input format (context: string) and the cost (2 MESH/call). This distinguishes it from siblings like task-analysis, agent-brain, and structured-extract, which handle other analytical purposes.

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 use for business-situation analysis with the phrase 'Analyze any business situation,' and the sibling context shows many situation-specific tools (pos-rescue, merchant-discovery), but no explicit when-to-use vs alternatives guidance is provided. It does not state when NOT to use this tool or mention alternatives, leaving the agent to infer from the 'any business situation' phrasing.

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