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Edgar & Edgarette: SEC Filing Boards

Annual Meetings: DEF 14A proxy statements

get_annual_meetings
Read-onlyIdempotent

Answers: Which public companies filed an annual meeting proxy this week? The reply opens with a one-line answer and its date. Annual Meetings. SEC Form DEF 14A · definitive proxy statements. Sourced from SEC EDGAR; every row links to its filing. Free, CC BY 4.0.

Input Schema

NameRequiredDescriptionDefault
limitNomax rows, default 50, ceiling 200 — the reply carries total/returned/truncated, and `more` links the full board

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / limit / description
      Previous value: -"max rows, default 50"New value: +"max rows, default 50, ceiling 200 — the reply carries total/returned/truncated, and `more` links the full board"
  2. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, open-world, non-destructive, so behavioral disclosure burden is lower. The description still adds real value: SEC EDGAR provenance, per-row links back to the filing, and the reply format (one-line answer plus date). It omits pagination/truncation behavior, but the input schema covers that.

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 question-and-answer lead is front-loaded and efficient. Later sentences are telegraphic fragments ('Annual Meetings. SEC Form DEF 14A · definitive proxy statements.'), and the licensing tail ('Free, CC BY 4.0') is marginal, but nothing is verbose.

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?

For a one-parameter, annotation-rich, no-output-schema tool, the description supplies what an agent needs: what query it answers, the source system, and the shape of the reply. Cadence ('this week') is stated, though the exact date-window semantics of that cadence remain slightly ambiguous.

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?

There is a single optional parameter and schema description coverage is 100% — the schema already explains the default of 50, the 200 ceiling, and the total/returned/truncated/more payload. The description adds no parameter-specific meaning, so the baseline of 3 applies.

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?

States the concrete question it answers (which public companies filed an annual meeting proxy this week) and names the exact SEC form (DEF 14A), so an agent can tell it apart from siblings like get_charter_amendments or get_mergers without opening a schema. The framing is question-based rather than a clean verb+resource, but the specificity of the resource is high.

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?

The 'Answers: Which public companies filed an annual meeting proxy this week?' framing implies when to reach for it (recent weekly proxy filings), but it never states exclusions or names a sibling to prefer for adjacent queries (e.g. charter amendments, mergers). Usage is inferable but not explicit.

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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