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SEC EDGAR

resolve_company

Resolves a ticker, CIK or company name (fuzzy, top 5) to 10-digit CIK, tickers, exchange, legal name, SIC code and description. Data comes from SEC EDGAR.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesTicker (AAPL), CIK (320193 or 0000320193) or company name (apple computer)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden, and it does disclose two non-obvious behaviors: matching is fuzzy and capped at the top 5 results, and the data source is SEC EDGAR. It says nothing about auth/rate-limit constraints or what happens when nothing matches, which leaves gaps for a zero-annotation tool.

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?

Two dense sentences, zero filler, and the input forms are front-loaded so the agent knows how to fill the one required param immediately.

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 no output schema, the description usefully enumerates the returned fields, and with one simple param there is little else to document. It stops short of explaining how multiple (top 5) matches are ordered or returned, which is the one remaining ambiguity for a fuzzy resolver.

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

Parameters4/5

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

Schema coverage is 100% and the single param is well documented, so the baseline is 3. The description adds genuinely new semantics beyond the schema: the match is fuzzy and returns up to 5 candidates, which the schema's format examples do not convey.

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?

Names a specific verb (resolves) and resource (company), and enumerates both the accepted identifier forms and the returned fields (CIK, tickers, exchange, legal name, SIC, description). The sibling tools operate on filings/events rather than entity identity, so the resource distinction is clear even without an explicit cross-reference.

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: an agent can infer this is the lookup step that should precede filing-oriented calls. There is no explicit 'use this when you have a ticker/name and need a CIK' statement, and no mention of list_filings or recent_8k_events as the downstream alternatives.

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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