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SimonTarara62

capitalcom-mcp-server

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Search Capital.com markets by query to find financial instruments and articles. Returns matching results with titles and URLs.

Instructions

ChatGPT Deep Research: search Capital.com markets. Returns {results:[{id,title,url}]}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description bears full responsibility for behavioral disclosure. It mentions the return format but does not state whether the tool is read-only, any authentication requirements, or rate limits. This is insufficient for safe invocation.

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?

The description is a single sentence that is front-loaded with purpose and return format. Every word contributes meaning; there is no unnecessary repetition or fluff.

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 provides the return structure, which is helpful given the implied output schema. However, it lacks context on how this tool differs from similar siblings and does not explain the 'deep research' aspect, leaving some gaps for an AI agent.

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

Parameters2/5

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

The schema describes only a 'query' parameter with no description (0% coverage). The tool description implies the parameter is a search term but adds no specifics about format, length, or acceptable values, offering minimal additional meaning.

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 it searches Capital.com markets, which is a specific verb and resource. However, it does not differentiate from the sibling tool 'cap_market_search', which likely performs a similar function, so it loses some points for lack of distinction.

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

Usage Guidelines2/5

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

No guidance is given on when to use this tool versus alternatives like 'cap_market_search'. The mention of 'ChatGPT Deep Research' is vague and does not provide explicit conditions for use.

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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