Skip to main content
Glama

Concept list for a company

metrics_list
Read-onlyIdempotent

List the standardized concepts (metrics) available for a company's template, with display order, statement, label, unit and the formula for derived concepts (for example free_cash_flow = cash_from_operations - capital_expenditure). Use it to learn the exact concept ids before calling verify_value or compare_versions, and to see which rows a statement will contain. Optionally filter to one statement.

Example tool call

This call uses example arguments supplied in the tool’s input schema.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "company": "ticker:AAPL"
    },
    "name": "metrics_list"
  }
}

Input Schema

NameRequiredDescriptionDefault
companyYesCompany identifier: a FinancialMD id ("fmd_01H..."), an SEC CIK ("cik:320193"), or a ticker ("ticker:AAPL", optionally with the MIC "ticker:AAPL.XNAS"). A bare ticker like "AAPL" is accepted and sent as ticker:AAPL. An issuer on an EU or UK regulated market that does not file with the SEC has no CIK: pass its LEI ("lei:IOG4E947OATN0KJYSD45") or its fmd_ id.
statementNoOptional: only concepts of this statement (or supplemental).

Output Schema

NameRequiredDescriptionDefault
dataNo{ template, concepts: [{ concept_id, statement, template, label, display_order, is_subtotal, formula, metric_format, metric_alias }] }.
metaNoRequest metadata: request_id, as_of, company resolution, coverage, pipeline_version, licence, terms, proof_base.
errorNoPresent only on isError results: the API error code and message plus remedy hints.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / company / description
      Previous value: -"Company identifier: a FinancialMD id (\"fmd_01H...\"), an SEC CIK (\"cik:320193\"), or a ticker (\"ticker:AAPL\", optionally with the MIC \"ticker:AAPL.XNAS\"). A bare ticker like \"AAPL\" is accepted and sent as ticker:AAPL."New value: +"Company identifier: a FinancialMD id (\"fmd_01H...\"), an SEC CIK (\"cik:320193\"), or a ticker (\"ticker:AAPL\", optionally with the MIC \"ticker:AAPL.XNAS\"). A bare ticker like \"AAPL\" is accepted and sent as ticker:AAPL. An issuer on an EU or UK regulated market that does not file with the SEC has no CIK: pass its LEI (\"lei:IOG4E947OATN0KJYSD45\") or its fmd_ id."
  2. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds genuine context beyond them: results are scoped to a company's template, entries include derived-concept formulas, and filtering narrows output to a single statement. It does not discuss behavior for unknown companies/templates or result size, which keeps it from a 5.

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?

Two sentences, front-loaded with the core action and returned fields, followed by usage routing. The parenthetical formula example earns its space by concretely illustrating what a derived concept looks like.

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?

An output schema exists, so return values need not be spelled out, yet the description still summarizes the key fields. For a two-parameter read-only list tool with full schema coverage and annotations, nothing an agent needs in order to call it correctly is missing.

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% and both parameters are fully documented in the schema, including identifier formats and the statement enum. The description adds only marginal meaning (that statement filtering shows which rows a statement contains), so the baseline 3 is appropriate.

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 ('List the standardized concepts (metrics) available for a company's template') and enumerates what each entry carries: display order, statement, label, unit, and derived formula. The concrete formula example makes the resource unambiguous and distinguishes it from siblings like financials_standardized.

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 explicit when-to-use guidance tied to named siblings: learn exact concept ids before calling verify_value or compare_versions. It also adds a second legitimate use case ('see which rows a statement will contain') and explains the optional statement filter's purpose, leaving nothing to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources