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Search across institutions, stocks, and insider traders in the ko.io SEC database. Institutions match by firm name OR manager name ('Seth Klarman' -> Baupost, 'Ackman' -> Pershing Square; person hits carry matched_person). Use this first when you have a name but need the CIK number, ticker, or slug to use with other tools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results per category
queryYesSearch query — company name, ticker, person name, or institution name (min 2 characters)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses the cross-category search scope and a behavioral nuance (person hits carry matched_person), giving useful insight into return behavior. It could be more explicit about read-only nature, but that is implied for a search 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?

The description is concise and front-loaded with the tool's purpose, followed by a concrete use case and a behavioral detail. Every sentence earns its place with no redundant information.

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?

Given the absence of an output schema, the description explains the search scope and the matched_person field, which partially covers return behavior. It could detail result structure more, but for its intended role as an identifier lookup entry point, it is sufficiently complete.

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%, so the schema fully documents both parameters. The description adds examples that illustrate search behavior (e.g., 'Seth Klarman' -> Baupost) but does not add significant parameter-level semantics beyond the schema.

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

Purpose5/5

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

The description clearly states it searches across institutions, stocks, and insider traders in the ko.io SEC database, providing a specific verb and resource. It distinguishes itself from sibling getter tools by positioning it as the first step to obtain CIK numbers, tickers, or slugs.

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

Usage Guidelines5/5

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

Explicitly instructs to use this tool first when you have a name but need identifiers like CIK, ticker, or slug for other tools. This provides clear when-to-use guidance and differentiates it from the specific lookup tools in the sibling list.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool targets a distinct resource and action, and descriptions explicitly disambiguate similar pairs (e.g., get_congress_member vs get_congress_trades, get_crypto_holder vs get_crypto_holders). No two tools appear to do the same thing.

Naming Consistency4/5

The dominant pattern is get_<noun>, with list_<noun> for enumerations. Minor deviations exist: a bare 'search' tool and the 'sec_' prefix on SEC filing tools break the uniform verb_noun style, but the pattern remains predictable.

Tool Count4/5

At 24 tools, this is on the heavier side, but the server spans multiple financial data domains (SEC filings, stocks, insider trading, crypto, rates, economics), so each tool has a clear purpose. It is just below the 'too many' threshold.

Completeness5/5

The tool surface is remarkably complete for financial data retrieval: SEC filing lifecycle is covered (list -> index -> document), institutional ownership is available from both stock and institution perspectives, and insider/congress/crypto/economic data are all present. No obvious gaps or dead ends.