Skip to main content
Glama

repository_open

Opens a local architecture Git repository and validates its DSL declaration without network access.

Instructions

Open and fully validate a local architecture Git repository without network access.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repository_pathYes
declaration_pathNoarchitecture.yaml

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
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 behavioral disclosure. It mentions 'fully validate' and 'without network access', which implies a read-only, offline validation, but it does not state whether the operation is safe (non-destructive), what happens on invalid repositories, or whether it modifies anything. The lack of explicit behavioral details is a significant gap for an open/validate operation.

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 that states the core action and a critical constraint (no network access). It is concise, front-loaded, and free of fluff. Every word adds value.

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 tool has an output schema (not shown), which may explain return values. For a tool that opens and validates a repository, the description lacks details on failure behavior, required permissions, or the scope of validation (e.g., does it check commit history, file integrity?). With no annotations, this leaves some gaps for an agent to use it correctly, but the core purpose is clear.

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?

Schema description coverage is 0%, so the description must compensate for the parameter meaning. It does not explicitly describe the purpose of repository_path or declaration_path, but the context 'local architecture Git repository' implies that repository_path is the path to the repository, and 'architecture.yaml' as a default suggests declaration_path is the architecture file to validate. However, this is inferred, not stated, so the description adds some value but could be more explicit.

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 clearly states the tool opens and fully validates a local architecture Git repository without network access. It specifies the resource (local architecture Git repository) and the action (open and validate), but does not explicitly distinguish it from sibling tools like repository_validate, which may cause some ambiguity.

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 implies this tool is for local repositories without network access, but it does not explicitly state when to use this tool versus siblings like repository_validate, repository_clone, or repository_fetch. There is no guidance on when this tool should be preferred or avoided, and no mention of alternative tools for different scenarios.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.