Pronto

list_facets

Read-onlyIdempotent

List the full filter vocabulary: every facet value currently on the wire, across every key — lang, country, region, domain, topic, severity, provider, coverage and place — as one flat list with a signal count each, and a human-readable label for place ids. Every value it returns is a value scope_signals will accept right now.

This is the exhaustive listing and it is long, running to a hundred-odd values on a busy wire. If all you need is to pick a domain and a topic, get_facet_manifest answers that in a fraction of the tokens; come here when you need a value the manifest does not carry, or the counts behind one. Place facets are gazetteer ids; filter them by name with scope_signals rather than by the raw id.

Input Schema

TableJSON Schema

Name	Required	Description	Default
No arguments

Schema Changelog

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

First observedAug 2, 2026

TDQS

A4.8/5.0

Behavior5/5

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

Annotations already declare readOnly/openWorld/idempotent, and the description adds real behavioral detail: the result is a flat list, each value has a signal count, place ids get human-readable labels, and the list can be long with many values. It also reveals dynamic freshness: values are those 'scope_signals will accept right now.'

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 main purpose and output shape are front-loaded in the first sentence. The later sentences add routing and behavioral nuance that earns their place, even though the description is a bit more verbose than strictly necessary.

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?

For a zero-parameter read-only tool, the description is complete: it says what comes back, how long the result can be, how it relates to scope_signals, and how to handle place facet ids. No output schema exists, but the description satisfies the need for return-value expectations.

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

Parameters4/5

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

The input schema has zero parameters, so the baseline is 4. The description confirms no invocation parameters are needed by framing the tool as an exhaustive, unfiltered dump of all current facet values.

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?

Description opens with a specific verb and resource: 'List the full filter vocabulary' and enumerates the exact facet keys (lang, country, region, domain, topic, severity, provider, coverage, place). It is clearly distinguished from get_facet_manifest and scope_signals by explaining the difference in scope.

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?

The tool gives explicit when-to-use guidance: use get_facet_manifest if you only need a domain and a topic, since it is cheaper; use list_facets when you need a value not in the manifest or need backed counts. It also explains place facets should be filtered with scope_signals by name instead of raw id.

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

A4.6/5.0

Disambiguation5/5

Each tool has a clearly distinct purpose: get_signal re-reads a known row, get_latest_signals fetches by time, scope_signals filters by facets, search_signals matches words, and get_related_signals follows links. The overlapping pairs like get_facet_manifest/list_facets and get_fused_signal/list_fusion_products are explicitly differentiated in their descriptions, so an agent should not confuse them.

Naming Consistency5/5

The naming follows a consistent snake_case verb_noun pattern: get_ for direct fetches, list_ for catalog-style enumeration, register_ for identity creation, and scope_/search_ for query actions. The slight difference between get_fused_signal and list_fusion_products is meaningful and the verbs remain predictable.

Tool Count5/5

Thirteen tools is well within the sweet spot and each one covers a distinct capability: live reads, lookup by id, lexical search, facet filtering, related signals, fused products, catalogues, plans, billing, and agent registration. There is no obvious padding or excessive fragmentation.

Completeness5/5

The surface fully covers the domain: discovering the vocabulary, selecting signals, searching, fetching by id, following relationships, computing derived products, listing sources, and checking billing/plans. The only gaps would be account claiming and credential rotation, but those are explicitly deferred to external parties, so they are not tool-set gaps.

Resources

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