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Freshrelease MCP Server

Freshrelease MCP Server

by dasscoax
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

fr_link_testcase_issues

Link multiple test cases to issues in Freshrelease projects by resolving keys to IDs and updating associations through API calls.

Instructions

Bulk update multiple test cases with issue links by keys.

- Resolves `testcase_keys[]` via `GET /{project_identifier}/test_cases/{key}` to ids
- Resolves `issue_keys[]` via `GET /{project_identifier}/issues/{key}` to ids
- Performs: PUT `/{project_identifier}/test_cases/update_many` with body
  { "ids": [...], "test_case": { "issue_ids": [...] } }

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "project_identifier": "<project_identifier>",
      "testcase_keys": "<testcase_keys>",
      "issue_keys": "<issue_keys>"
    },
    "name": "fr_link_testcase_issues"
  }
}

Input Schema

NameRequiredDescriptionDefault
issue_keysYes
project_identifierYes
testcase_keysYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explains the multi-step process (resolving keys to IDs then performing a PUT update), which adds useful context about the tool's internal workflow. However, it doesn't cover critical aspects like error handling, permissions required, or rate limits, leaving gaps in transparency.

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 appropriately sized and front-loaded with the main purpose, followed by bullet points detailing the process. Each sentence earns its place by explaining the workflow, though it could be slightly more streamlined by avoiding API endpoint specifics that might be redundant if the agent already knows the system.

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?

Given the tool's complexity (bulk update with key resolution), no annotations, and an output schema (which reduces need to explain returns), the description is moderately complete. It outlines the process but misses details like error cases, side effects, or performance considerations, making it adequate but with clear gaps for a mutation tool.

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%, so the description must compensate for undocumented parameters. It mentions 'testcase_keys[]' and 'issue_keys[]' but doesn't explain their formats, constraints, or relationships beyond the API calls. This adds minimal semantic value over the bare schema, failing to adequately address 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 clearly states the verb ('bulk update') and resource ('multiple test cases with issue links by keys'), making the purpose specific and understandable. However, it doesn't explicitly differentiate this tool from potential siblings like 'fr_create_task' or 'fr_get_task', which would require a 5.

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 whether it's for batch operations or how it differs from single-update methods. It lacks context about prerequisites or exclusions, leaving the agent without usage direction.

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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