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Glama

SHAR Public Knowledge MCP

List SHAR services

list_services
Read-onlyIdempotent

List the canonical service catalog and stable identifiers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
localeNoru

Schema Changelog

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

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint true, idempotentHint true, and destructiveHint false, so the safety profile is covered. The description adds minor context with 'canonical' and 'stable identifiers,' but does not disclose practical behaviors such as pagination, locale effects, ordering, or response shape.

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?

The description is a single front-loaded sentence that immediately states the action and object. Every word contributes meaning, with no filler or redundancy.

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

Completeness2/5

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

The description is too sparse for a tool with two undocumented parameters and no output schema. It omits how limit and locale affect results, what a 'stable identifier' means in practice, and how this listing relates to subsequent get_service calls.

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

Parameters1/5

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

Schema description coverage is 0%, and the description does not compensate by explaining the limit or locale parameters. An agent must infer their meaning from names alone, which is insufficient for correct invocation.

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?

The description uses a specific verb ('List') and names a resource ('canonical service catalog and stable identifiers'), making the core function clear. It does not explicitly contrast with the sibling get_service, but the plural list vs singular get is a reasonable implicit distinction.

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

Usage Guidelines2/5

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

The description gives no guidance on when to use this tool versus alternatives like get_service or search_knowledge. There is no mention of prerequisites, typical use cases, or conditions that would make this tool preferable.

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

B3.4/5.0
Disambiguation4/5

Each tool targets a different public knowledge resource (cases, services, evidence, provenance, clients), so an agent can usually tell them apart. However, get_industry_experience overlaps with search_cases, and get_public_evidence versus get_media_provenance could be confused without careful reading.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern, with get_ as the dominant verb and list_/search_/compare_ as clear variants. No camelCase or inconsistent verb styles appear.

Tool Count4/5

15 tools sits at the upper edge of a well-scoped read-only knowledge server. Each tool has a distinct purpose, but a few could be consolidated (e.g., industry experience as a search_cases filter) without losing capability.

Completeness4/5

The surface covers the main public knowledge workflows: service catalog, cases, evidence, provenance, pricing, clients, and production context. Minor gaps exist, such as no direct get_claim stable-identifier lookup and no list_cases endpoint, but search_knowledge and search_cases provide workarounds.

Resources