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_mcp_generate_deployment_guide

Render an IT deployment guide for an inference container with project ID, port, GPU device, and API hostname parameters.

Instructions

Render an IT deployment guide for the inference container.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
portNo
gpu_deviceNoall
project_idYes
api_hostnameNoapi.example.com

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It fails to mention whether the tool is read-only, requires authentication, has side effects (e.g., writing to disk), or performance considerations. Only the output format is not discussed, despite an output schema existing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is only one sentence, achieving high conciseness but at the cost of omitting critical information. It is front-loaded with the core purpose but lacks structure to support further details. Every sentence earns its place, but the description is too sparse to be fully effective.

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?

Given the tool has 4 parameters, no schema descriptions, and no annotations, the description is insufficient for an agent to correctly invoke it. It does not explain the output format (even though an output schema exists, the description should outline what a 'deployment guide' entails), prerequisites, or typical use cases alongside siblings.

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

Parameters1/5

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

The input schema has 4 parameters with 0% description coverage, meaning the schema provides no explanations for 'port', 'gpu_device', 'project_id', or 'api_hostname'. The description adds no parameter information whatsoever, leaving the agent to guess the meaning and defaults. This is especially problematic for 'gpu_device' and 'api_hostname'.

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 uses a specific verb 'Render' and identifies the resource as 'IT deployment guide for the inference container'. It distinguishes from siblings like '_mcp_generate_user_guide' which targets a different document type. However, 'Render' is somewhat vague (could mean generate, format, or present), slightly reducing clarity.

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 '_mcp_generate_user_guide' or '_mcp_generate_security_report'. There is no mention of prerequisites, context, or exclusions, leaving the agent without comparative context.

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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