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Trades With AI + SaaS Price Watch

Get one trades tool

get_trade_tool
Read-onlyIdempotent

Get full details for one tool in the tradeswithai.com directory: description, quoted prices with source text, integrations, trades served, and check date.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesTool slug from search_trade_tools, like "jobber" or "smith-ai". A tool name also works.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world behavior, so safety is covered. The description goes further by disclosing the payload semantics (quoted prices with source text, integrations, trades served, check date) and the freshness signal ('check date'), which is genuinely useful since there is no output schema. No contradiction with annotations.

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

Conciseness5/5

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

One sentence, front-loaded with the verb and scope, followed by the return contents; every clause earns its place and there is no filler or restatement of the title.

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

Completeness4/5

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

With one required parameter, full annotations, and no output schema, the description carries the return-value burden and does so by enumerating the fields the agent will receive. It stops short of noting behavior for an unrecognized slug or the relationship to the sibling lookup tools, but nothing essential to calling it correctly is missing.

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 coverage is 100% and the single parameter's description already explains the slug format, gives examples, and notes 'a tool name also works'. The description adds no parameter-level meaning beyond that, so this sits at the baseline for fully documented schemas.

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?

Specific verb ('Get') plus resource ('one tool in the tradeswithai.com directory') and an enumeration of the returned fields, so the agent knows exactly what comes back. It implicitly separates itself from search_trade_tools and compare_trade_tools by the singular 'one tool', but it never names those siblings, so differentiation is inferred rather than stated.

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?

Usage is only implied: fetching full details for a single tool follows naturally from a search result, and 'slug from search_trade_tools' hints at the workflow in the schema. There is no explicit when-to-use, when-not-to-use, or routing against compare_trade_tools / get_vendor_pricing.

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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