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TestChimp

update-test-scenario

Sync a test scenario markdown file to the platform after local edits. Requires frontmatter id: TS- and story: US-. Missing either returns an error telling you to call create-test-scenario first. Parses frontmatter and updates linking if story changes. Optional agentTraceability records UPDATED Activity inline.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gitShaNo
userIdNo
contentYes
actorTypeNo
agentModelNo
branchNameNo
cliVersionNo
policyFileNo
workflowIdNo
skillVersionNo
policyVersionNo
agentTraceabilityNo
workflowExecutionIdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose meaningful behavior: required frontmatter fields, the error path when they are absent, frontmatter parsing, and link updates when the story changes. It does not state permission/auth requirements or what a successful response looks like, so it stops short of full disclosure for a write-style sync.

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?

Four sentences, front-loaded with the core purpose and prerequisites, with no filler. Slightly dense but every sentence carries information; minor room to trim the traceability sentence.

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?

No output schema and no annotations, so the description bears the full load. It covers purpose, prerequisites, and mutation behavior adequately, but with 13 parameters and a nested object largely unexplained, an agent still lacks guidance on most inputs.

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% across 13 parameters, so the description must compensate. It only explains one parameter meaningfully ('Optional agentTraceability records UPDATED Activity inline') and the implicit content format; the remaining eleven traceability/metadata fields (gitSha, userId, actorType, agentModel, branchName, cliVersion, policyFile, workflowId, skillVersion, policyVersion, workflowExecutionId) are undocumented.

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?

States a specific verb and resource ('Sync a test scenario markdown file to the platform') and adds the scoping condition ('after local edits'). It explicitly distinguishes itself from create-test-scenario, so an agent can route between them without opening the schema.

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?

Gives a clear when-to-use context ('after local edits') and names the alternative explicitly: missing frontmatter id/story routes the caller to create-test-scenario first. The condition that selects the alternative is spelled out rather than left to inference.

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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