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get_company_blueprint_deployment_head

Read-onlyIdempotent

Retrieve the exact active AI-native company head for a given project, or confirm if none is set. Use it to verify the current deployment state before proceeding.

Instructions

Read the exact active AI-native company head or explicit absence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_refYes
project_refYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

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

  1. Addedv0.1.1

TDQS

B3/5.0
Behavior3/5

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

The description aligns with the readOnlyHint and idempotentHint annotations and adds that an explicit absence may be returned. It does not, however, describe the return shape, error behavior, or whether the absence is communicated via null, empty response, or a not-found error.

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 redundant content. It front-loads the action and resource, making it 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?

The description is too minimal to fully support correct invocation: it lacks parameter semantics, output schema details, and any surrounding workflow context. While the operation is simple, the opaque 'AI-native company head' phrasing and missing return/absence details leave room for misinterpretation.

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?

The two required parameters, company_ref and project_ref, have names that suggest they are identifiers, but the schema provides no descriptions and the tool description does not explain their format, origin, or relationship. An agent must infer how to populate them from domain conventions.

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 states a clear read action and names a specific resource: the active head of a company blueprint deployment, with an explicit absence case. The phrase 'AI-native company head' is somewhat jargon-heavy, but the tool name and read-only framing make its purpose distinguishable from related deployment tools.

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?

No guidance is given about when to use this tool instead of related tools such as get_company_blueprint_deployment or certification/rollback operations. The description does not mention preconditions, intended scenarios, or alternatives.

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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