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Glama

dispersl_git_agent

Execute Git versioning operations from a prompt using agentic execution to automate codebase commits, branches, and history.

Instructions

Execute codebase versioning operations with Git based on a prompt using agentic execution

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mcpNo
modelNo
promptYes
contextNo
task_idNo
knowledgeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. 'Agentic execution' hints at autonomous operation, but the description omits critical details such as destructive Git operations, permission requirements, reversibility, and side effects.

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?

The description is a single, front-loaded sentence with no redundant phrasing. However, its extreme brevity may be under-specified for a complex tool, keeping it from a 5.

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

Completeness1/5

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

Given a complex agentic Git tool with 6 parameters, 0% schema coverage, no annotations, and no output schema, a one-line description is far too incomplete. It omits parameter meanings, behavioral constraints, and return information.

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?

Schema description coverage is 0% for all 6 parameters, so the description must compensate. It mentions 'prompt' as the basis for execution, giving that parameter some meaning, but leaves mcp, model, context, task_id, and knowledge completely unexplained.

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 gives a specific verb and resource: 'Execute codebase versioning operations with Git'. It distinguishes itself from generic agent siblings like dispersl_code_agent by naming Git versioning, though it does not explicitly contrast alternatives.

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 the tool is used when a prompt is available, but provides no when-to-use, when-not-to-use, or alternative-selection guidance. No sibling tools or conditions are referenced.

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