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Glama

SHAR Public Knowledge MCP

Get timeline context

get_timeline_context
Read-onlyIdempotent

Return published service and case timeline context without promising a project schedule.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes

Schema Changelog

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

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

Annotations already convey readOnly, idempotent, and non-destructive behavior. The description adds useful context about returning only published information and explicitly not promising a project schedule, which helps set expectations beyond the annotations.

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 focused sentence with no filler. The main action and key caveat are front-loaded in a way that is easy to parse quickly.

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?

With no output schema, no parameter descriptions, and no usage guidance, the description is too thin for an agent to confidently invoke this tool. It explains what is returned at a high level but not what the query should contain, how results are shaped, or when this tool is the right choice.

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?

Schema description coverage is 0%, and the description does not explain the 'query' or 'limit' parameters. The schema provides basic constraints, but the description adds no meaning about what a valid query is or how limit affects results, so it fails to compensate for the coverage gap.

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 clear verb ('Return') and identifies a specific resource ('published service and case timeline context'). The qualifier 'without promising a project schedule' adds useful scope, but it does not explicitly differentiate this tool from siblings like get_case, get_service, or search_cases.

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 provides no guidance on when to use this tool versus alternatives such as get_public_evidence, get_case, or search_cases. It hints at a distinction (timeline context, no schedule promise) but never states the intended use case or exclusion conditions.

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