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Business Analyze

biz-analyze

Business Analyze — Analyze any business situation and get a structured recommendation back — the original api.meshtool.ai capability, now settled in MESH. Input: { context: string }. (6 MESH/call, a tool · reasoning)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesPayload for biz-analyze

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, openWorldHint=true, and destructiveHint=false, so no safety contradiction exists. The description adds useful non-schema context: cost per call ('6 MESH/call'), a 'reasoning' tag, and that output is a 'structured recommendation'. It does not go into side effects or operational behavior beyond that.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core purpose is front-loaded in the first clause, and the cost/tag suffix is compact and useful. The provenance phrase 'the original api.meshtool.ai capability, now settled in MESH' is mildly promotional and not strictly necessary, but overall the description remains short and scannable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description gives the essential usage and cost details, and the schema fully documents the parameters. However, 'structured recommendation' is vague, and since there is no output schema, the agent receives little guidance about the expected response shape.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with `context`, `goal`, and `constraints` each documented in the schema. The description's 'Input: { context: string }' merely restates part of the schema without adding new meaning, so the schema carries the parameter-documentation burden.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific verb ('Analyze') and resource ('any business situation'), and promises a 'structured recommendation' as the return value. It does not explicitly differentiate from sibling tools, but the phrasing is specific enough to distinguish this from the other tools in the sibling list.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'Analyze any business situation' implies the tool should be used whenever business analysis is needed, which provides a reasonable context of use. However, there is no explicit guidance on when not to use it, no mention of alternatives, and no exclusion criteria.

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

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