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Glama

SHAR Public Knowledge MCP

Get service deliverables

get_deliverables
Read-onlyIdempotent

Return published deliverable context for a canonical service.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
localeNoru
serviceIdYes

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 establish readOnlyHint, idempotentHint, and non-destructiveness, so the safety profile is covered. The description adds minor scoping ('published', 'canonical service') but does not disclose return format, pagination, auth needs, or error behavior. It is consistent with the annotations and does not contradict them.

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 a single, front-loaded sentence with no filler. It adds the qualifiers 'published' and 'canonical' beyond what the title alone conveys. It is concise, though somewhat under-specified; the structural style itself is sound.

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?

Given the lack of an output schema, 0% parameter coverage, and a large set of sibling tools, the description leaves important gaps. It does not explain what 'deliverable context' includes, how serviceId is sourced, or when this tool should be preferred over related get_* tools. An agent would likely need external context to invoke it confidently.

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?

With schema description coverage at 0%, the description must compensate for missing parameter explanations, but it does not. It only vaguely hints that serviceId refers to a 'canonical service' without explaining how to identify or format it. The locale parameter's behavior and default are left entirely to the schema.

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 and resource: 'Return published deliverable context for a canonical service.' It clearly identifies what the tool returns and distinguishes it from sibling tools by focusing on deliverables rather than prices, cases, facts, or other resources. However, it does not explicitly differentiate itself from siblings by name, and 'canonical service' is somewhat unexplained.

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?

No guidance is provided about when to use this tool versus alternative sibling tools. The description does not mention scenarios, exclusions, or alternatives, and there are many similarly named get_* tools. The 'published' qualifier implies some limitation, but it is not developed into actionable usage guidance.

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