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list_repos

List the code repos ingested into this workspace.

Call it first when a question or an impact target depends on which code Enhanciar has read, or to check how fresh it is. It takes no arguments and covers code only; connected tools like Slack or Notion show up as wiki pages, so use list_pages or query for those. Returns [{full_name, branch, last_ingested_at}], e.g. {"full_name": "acme/api", "branch": "main", "last_ingested_at": "2026-10-01T09:30:00"} (null if unknown); an empty list means no repo is ingested.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

With no annotations, the description carries the load and does so well: it states the tool takes no arguments, that it covers code only, the exact return shape, that last_ingested_at can be null, and that an empty list means nothing is ingested. It omits auth/permission requirements and any rate or pagination behavior, which is the only remaining gap for a read-only listing tool.

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?

Front-loaded with the purpose in sentence one, then usage and scope, then return shape. Every sentence earns its place, though the verbose JSON example duplicates what the output schema already declares, adding length that could be trimmed.

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

Completeness5/5

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

Given a zero-argument tool with an output schema, the description supplies the missing operational context: when to call it, what it excludes, and how to interpret null and empty results. Nothing an agent needs in order to call it correctly is absent.

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

Parameters4/5

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

Zero parameters, so the baseline is 4; the description reinforces this with 'It takes no arguments,' which removes any ambiguity about passing filters. No further parameter semantics are possible or needed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('List the code repos ingested into this workspace') and immediately bounds the scope to code, explicitly separating it from connected tools that surface as wiki pages. An agent can distinguish it from list_pages, query, and search_wiki without opening any schema.

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

Usage Guidelines5/5

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

Gives an explicit trigger ('call it first when a question or an impact target depends on which code Enhanciar has read') plus a secondary use case (checking freshness), and names the alternatives to use instead for non-code content. This is when-to-use and when-not-to-use in one place.

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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