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Product Manager MCP

Product Manager MCP

by r28ai
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

linear_customer_update

Update a customer's name, owner, tier, revenue, or size in Linear. Keep account records accurate when customer details change.

Instructions

Update a customer's name, owner, tier, revenue or size.

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": {
      "variables": "<variables>"
    },
    "name": "linear_customer_update"
  }
}

Input Schema

NameRequiredDescriptionDefault
variablesYesThe customer to update.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false and openWorldHint=true, so the write nature is covered, but the description adds nothing beyond that. It doesn't say that omitted fields remain unchanged, that fields can be cleared, or anything about idempotency or required permissions.

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?

A single efficient sentence with the verb and resource front-loaded and no filler. It is appropriately sized, though its brevity is partly why other dimensions are thin.

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?

The rich schema compensates for most gaps, and no output schema is needed to describe returns. Still, for a mutation tool the description omits partial-update semantics and any guidance that would complete the picture.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents every field including the 'absent means unchanged' semantics. The description repeats a partial field list and adds no meaning beyond the schema, which is the baseline-3 case.

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?

States a clear verb (update) and resource (customer) and enumerates representative fields, so an agent can tell it apart from linear_customer_create. However, it names only 5 of the ~11 updatable fields and gives no explicit sibling differentiation.

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?

There is no when-to-use guidance, no mention of when to prefer this over linear_customer_create, and no prerequisites. Usage is only implied by the word 'Update'.

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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