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Glama

localvibecode_pev_run

Runs a deterministic Plan-Execute-Verify cycle on a local Ollama model, converting a natural-language requirement into verified repository changes with fresh-context isolation.

Instructions

Execute an Enterprise Local Vibe Coding task using the Deterministic PEV (Plan -> Execute -> Verify) pipeline with Fresh Context isolation on 1 Local Ollama Model.

Input Schema

NameRequiredDescriptionDefault
repo_pathNo
requirementYesNatural language requirement or feature specification.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden. It adds useful architectural detail (deterministic pipeline, fresh context isolation, single local model), but says nothing about whether it writes files to repo_path, whether changes are reversible, expected runtime, or model/resource requirements for a clearly mutating code-generation 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?

A single front-loaded sentence that leads with the action and then qualifies the mechanism. It is dense with jargon but nothing is padded or redundant.

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?

For a code-mutating pipeline tool with no annotations, no output schema, and an undocumented repo_path, the definition leaves the agent without the information needed to invoke it safely or interpret results. It should state side effects on the repo, return shape, and prerequisites.

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 coverage is only 50%: requirement is documented in-schema, but repo_path has no description anywhere. The description never explains what repo_path means, whether it is optional, or what happens when it is omitted — the exact gap the description should fill for a low-coverage schema.

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?

States a specific verb (Execute) and resource (a task) and names the mechanism: a deterministic Plan -> Execute -> Verify pipeline against one local Ollama model. An agent can tell this is the full-pipeline entry point rather than a single-step tool like localvibecode_verify. It does not, however, distinguish itself from the sibling aisdlc_pev_run, which appears to be the analogous pipeline runner.

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?

There is no when-to-use guidance, no prerequisites (does a repo need to exist at repo_path? does a graph need to be built first?), and no routing between this tool and aisdlc_pev_run or the localvibecode_verify/blast_radius siblings. The agent must guess which pipeline runner applies.

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