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Catalog Metadata

meta_catalog
Read-onlyIdempotent

List public-safe dataset coverage, status, and endpoint counts. Demo mode is allowed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
include_endpointsNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and non-destructive. The description adds useful scope context ('public-safe') and demo-mode eligibility, but beyond that it does not disclose behaviors like output shape, pagination, or dataset-count limits. It does not contradict the annotations, so a mid-3 is appropriate.

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 description is two short sentences with no filler; the main purpose is front-loaded and 'Demo mode is allowed' adds distinct usage context. It is efficient, though 'List public-safe dataset coverage' could arguably also be worded slightly more explicitly as a catalog operation.

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

Completeness3/5

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

For a one-parameter read-only tool with strong annotations, the description is reasonably complete: it names the type of data returned, the public-safe scope, and demo-mode permissibility. However, it fails to clarify the single parameter's behavior and does not mention relationhip to the closely named sibling meta_dataset, leaving some ambiguity in a large tool family.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is one parameter, include_endpoints, with zero schema description coverage. The description mentions 'endpoint counts' in the output but never explains that include_endpoints toggles this detail or what the default false implies. The parameter name is suggestive, but the description should compensate for the missing schema coverage and does not.

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?

Description states specific verb 'List' and clear resource ('public-safe dataset coverage, status, and endpoint counts'), which is a catalog-level summary distinct from one-off lookup tools. It falls short of a full 5 because it does not explicitly distinguish itself from the similarly named sibling meta_dataset.

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 phrase 'public-safe' and 'Demo mode is allowed' imply when the tool can be used and under what access conditions. However, there is no explicit guidance about when to prefer this tool over meta_dataset or other catalog-related siblings, and no when-not-to-use conditions are provided.

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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TDQS

B3.2/5.0
Disambiguation2/5

Multiple tools have genuinely blurry boundaries: company_change vs company_changes differ only by singular/plural yet serve different purposes, company_domain vs company_classify vs company_lookup_auto all accept a domain, geo_zip_lookup vs geo_enrich vs geo_zip_batch all return ZIP profiles, and email_validate subsumes much of email_disposable and email_free_provider. The domain prefixes help narrow search space, but within many domains an agent cannot reliably predict which tool is the right one.

Naming Consistency4/5

All 129 tools uniformly follow a snake_case [domain]_[topic] convention (company_, fx_, geo_, dns_, weather_, tax_), which is highly predictable and consistent. Minor deviations include the confusing company_change/company_changes pair, and inconsistent suffix usage (_batch appears on address_validate_batch, company_domains_batch, geo_zip_batch but not on equivalent lookup tools elsewhere).

Tool Count1/5

129 tools far exceeds the 50+ extreem-mismatch threshold, bundling roughly 28 unrelated data domains (weather, fx, tax, ccompany, dns, jobs, flight, email, phone, tax...) into a single MCP surface. Even focusing on one domain forces the agent to load an enormous unrelated tool list; this should be split into many smaller domain-specific servers.

Completeness4/5

Per-domain coverage is impressively thorough: weather spans current/forecast/hourly/historical/normals/marine/route/air-quality, fx covers rates/convert/historical/volatility/correlation/strenth, and company includes lookup/enrichment/networks/timeline/peer-comparison plus six buyer-tuned signals with profile-introspection tools. Minor gaps like flight being historical-only and smtp probes skipping major email providers are documented scope decisions rather than dead ends.

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