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Edgar & Edgarette: SEC Filing Boards

get_company_performance

Edgar & Edgarette performance card for any SEC filer (name, ticker or CIK): recent filings, then an actuarial-style reading of its audited 10-K figures (exposure, experience, credibility, an if-the-pace-held range, cautions). Every figure is the company's own, from SEC EDGAR, with source links. Reporting, not investment advice. From POPS4; confirmations: Jenny Huang Goodman MPA MSc MHSA, Principal.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companyYescompany name, ticker or CIK

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full transparency burden. It discloses that the output is reporting, not investment advice, that figures come from SEC EDGAR, and that source links are included. It also describes the analytical nature ('actuarial-style reading') and mentions 'cautions', giving an honest picture of what the tool returns.

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?

The core explanation is front-loaded with the tool's purpose and content. The sentences are informative, but the trailing 'From POPS4; confirmations: Jenny Huang Goodman MPA MSc MHSA, Principal.' adds provenance/credential detail that is not essential for invocation and slightly dilutes focus.

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 a single parameter, no output schema, and no annotations, the description does a solid job of explaining what the agent will receive: recent filings, a 10-K reading with specific dimensions, a projected range, cautions, and source links. Minor gaps like exact recency or formatting are acceptable at this complexity level.

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?

The schema already covers the single parameter with 'company name, ticker or CIK' at 100% coverage. The description repeats that same input flexibility in words, but adds little beyond the schema, so the baseline of 3 is appropriate.

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 identifies the tool as producing a performance card for SEC filers, naming the input types (name, ticker or CIK) and outlining the contents (recent filings, 10-K actuarial reading). It is specific about the resource and result, though it does not explicitly contrast with sibling tools like get_auditor_watch or get_ipo_watch.

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 context is implied: an agent would use this when it needs a comprehensive performance snapshot of a public company, including filings and 10-K analysis. However, there is no explicit statement of when to prefer this over the many sibling watchlist tools, nor any exclusion criteria or alternative routing.

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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