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list_metrics

Read-onlyIdempotent

List operating metrics (ARR, cash, monthly burn) reported across the authenticated user's portfolio, newest first, each with the company it belongs to. Pass a company slug to scope to one company. Amounts are in each company's own currency, given per row as currency.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo1-indexed page number (default 1).
companyNoOnly this company's metrics, by slug.
per_pageNoResults per page (default 30, max 100).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / additionalProperties
      Added value: +false
  2. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior, so the bar is lower. The description adds real context beyond that: rows are ordered newest first, each row carries its owning company, and amounts are expressed in each company's own currency rather than a normalized one.

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?

Three sentences, front-loaded with the resource and scope, then a filtering tip, then the currency caveat. No filler and nothing repeated from the schema.

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 carries the burden of describing return shape, and it does so reasonably: ordering, per-row company attribution, and per-row currency. It stops short of covering pagination behavior or what an empty portfolio returns, leaving minor gaps.

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 page, per_page, and company are already documented in the schema. The description's note that 'company' is a slug largely repeats the schema wording and adds no format or edge-case detail, so baseline 3 applies.

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 (List) and resource (operating metrics), names concrete examples (ARR, cash, monthly burn), and specifies scope (the authenticated user's portfolio). This clearly distinguishes it from siblings like list_transactions, list_check_sizes, or list_pitches.

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

Usage Guidelines4/5

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

Gives clear context for use (portfolio-wide metrics) and a conditional narrowing path: 'Pass a company slug to scope to one company.' It does not name an alternative tool or state when not to use it, so it falls short of a 5.

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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