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deploy_inspect_repo

Read-only

Inspect a small set of repo files (package.json, pyproject.toml, requirements.txt, Dockerfile, .env.example) for hints about the application's runtime needs. Returns database_hints (the DB engines you can detect from dependency names) and env_var_hints (variable names parsed from any .env.example). Pass the files explicitly as a list - this tool does no I/O.

Input Schema

NameRequiredDescriptionDefault
filesYesList of relevant repo files to probe. Only include conventional ones (package.json, pyproject.toml, requirements.txt, Dockerfile, .env.example, README.md).
cluster_idYesAnkra cluster id (UUID) the call targets. Discover ids with list_clusters.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations only assert readOnlyHint=true; the description adds substantive non-obvious behavior — that the tool performs no I/O and requires the file contents to be passed in, plus exactly what the output hints are derived from (dependency names, .env.example parsing). It does not mention limits on file size, unsupported inputs, or error behavior, keeping it short of a 5.

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?

Three short sentences, front-loaded with the purpose, then the output shape, then the key calling constraint. Every sentence carries information; the parenthetical file list is slightly redundant with the same list in the schema, costing it a point.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema present, the description correctly carries the return-value burden by naming database_hints and env_var_hints and their derivation, and it explains the crucial no-I/O contract. What is missing — behavior on unrecognized or missing file types, and any failure modes — is minor for this narrow inspection tool.

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 both parameters are already documented, including the list_clusters discovery note for cluster_id. The description reinforces the 'only conventional files' constraint on the files parameter but adds no format or content semantics beyond the schema, so the baseline 3 applies.

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?

Specific verb (Inspect) plus a precisely scoped resource (a small set of named conventional repo files), and it states what the tool produces (database_hints, env_var_hints). It implicitly separates itself from file-fetching siblings like github_read_file by noting it does no I/O, but it never names an alternative sibling explicitly.

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 line 'Pass the files explicitly as a list - this tool does no I/O' is genuine usage guidance, telling the agent it must supply content rather than a path or repo reference. However, it gives no when-to-use/when-not-to-use versus related tools such as deploy_inspect_chart_values or the various workspace/github read tools, leaving the routing inference to the agent.

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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