mcp-multisource

release_readiness

Aggregate open GitHub PRs/issues, Notion specs, and Linear work into a single snapshot to assess release readiness. Partial results with a degraded list are returned when a source is unavailable.

Instructions

Cross-source snapshot: open GitHub PRs/issues for a repo, matching Notion specs, and Linear tracked work. Returns partial results with a degraded list when a source is unavailable.

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": {
      "repo": "<repo>"
    },
    "name": "release_readiness"
  }
}

Input Schema

Name	Required	Description	Default
`repo`	Yes
`team_key`	No
`spec_query`	No

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Sep 6, 2026

TDQS

B3.4/5.0

Behavior4/5

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

With no annotations, the description carries the full behavioral burden; it discloses the notable degraded/partial-result behavior and the `degraded` list, which is valuable. It does not state read-only status or permissions, but the aggregation context and failure-mode disclosure provide a solid behavioral profile.

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?

Two sentences with no filler; the core aggregation purpose is front-loaded and the degraded behavior is clearly stated. Very efficient for the information conveyed.

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 output schema covers return shape, so the description can focus on invocation context, but the ambiguous 'matching Notion specs' phrasing and lack of any guidance on optional parameters leave real gaps. The degraded-source caveat is good, yet an agent still does not know how to supply or shape `spec_query` or `team_key`.

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 explain the parameters, but it only loosely references Notion specs and Linear work without mapping to `spec_query` or `team_key`. `repo` is implied by 'for a repo', but optional params and their string formats remain unexplained.

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 identifies a specific aggregation task—open GitHub PRs/issues, Notion specs, and Linear tracked work for a repo—so an agent can infer the tool's role. It lacks a direct verb and does not contrast with the unrelated sibling tools, but the resource and actions are sufficiently concrete.

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

Usage Guidelines3/5

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

The phrase 'Cross-source snapshot' implies this is the go-to tool for combined release-readiness data, and the degraded-note signals when partial results should be expected. No explicit when-to-use/when-not-to-use guidance or alternative routing is provided, though the siblings appear unrelated.

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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