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Get a company, person or regulator

get_party

Everything the site records about one company, person or regulator across every timeline: its role on each, the parties it most often appears alongside, and every dated entry that names it, newest first, with sources. Use it instead of search_entries when you want one actor's whole history rather than a keyword match. Returns at most limit entries, with total_entries saying how many exist; a party is named when the editors listed it among an entry's parties, not merely when the name appears in the text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesParty id: a lowercase slug such as nvidia, jensen-huang or federal-reserve. search_entries results and timeline entities carry it, and the parties that have a page are listed under parties in /index.json.
limitNoEntries to return, newest first (default 40).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / id / description
      Added value: +"Party id: a lowercase slug such as nvidia, jensen-huang or federal-reserve. search_entries results and timeline entities carry it, and the parties that have a page are listed under parties in /index.json."
    • addedInput schema / properties / limit / description
      Added value: +"Entries to return, newest first (default 40)."
  2. First observed

TDQS

A4.4/5.0
Behavior4/5

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 substantial work: ordering (newest first), inclusion of sources, the limit/total_entries relationship, and the important retrieval caveat that a party is 'named' only when editors listed it among an entry's parties, not on mere text occurrence. What it doesn't cover, permissions/rate limits or whether the page is ever absent, is minor for what is evidently a read tool.

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?

Front-loaded with the scope, then the sibling routing rule, then the return/limit caveats; every sentence is load-bearing. The first sentence is long and packs several clauses, which costs a little readability but not enough to be waste.

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

Completeness5/5

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

With no output schema, the description takes on the return-value burden and discharges it: entry list, newest-first order, sources, and total_entries vs limit. For a two-parameter read tool this is complete enough to call correctly.

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%, so both parameters are already documented in the schema (id slug format, limit default 40 and max 200), establishing the baseline of 3. The description reinforces the newest-first semantics and total_entries but adds no syntax or format detail the schema lacks.

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?

States a specific verb and resource ('everything the site records about one company, person or regulator') and enumerates the scope: role, co-occurring parties, dated entries with sources. It explicitly contrasts with the sibling search_entries, so an agent can distinguish them without opening either schema.

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?

Gives an explicit routing rule: 'Use it instead of search_entries when you want one actor's whole history rather than a keyword match.' That names the alternative and the condition that selects it, which is exactly the when-to-use guidance needed.

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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