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odanree

portfolio-drift-mcp

by odanree

apply_drift_patches

Apply curated drift patches to Beacon projects, with a dry-run option to validate changes before actual application.

Instructions

Apply curated drift suggestions to Beacon (HITL).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patchesYeslist of patch dicts, each shaped like: { "project_id": "...", "name_hint": "...", "description": null | "...", "outcome": null | "...", "tech_additions": [...], "tech_removals": [...] }
dry_runNoif True (default), prints intent and returns without mutation. Set False to actually delete-then-recreate each project in Beacon.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, so description carries full burden. It fails to disclose that applying patches can be destructive (delete-then-recreate projects) when dry_run is false. This critical behavioral information is only in the parameter schema, not the description.

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, concise sentence with no extraneous words. It is front-loaded but could benefit from including behavioral notes given the tool's complexity.

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?

For a tool with destructive potential and an output schema, the description lacks completeness by not explaining behavior or return values. It relies on schema for details, leaving gaps in understanding for the agent.

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 baseline is 3. The description does not add meaning beyond what the schema provides for parameters. It hints at the patches being 'curated suggestions' but does not detail format or constraints.

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?

The description clearly states it applies curated drift suggestions to Beacon, with a specific verb and resource. It distinguishes from sibling audit tools which are for detection, indicating this is for application.

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

Usage Guidelines4/5

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

The description implies usage after curation and audit, but does not explicitly mention when-not or alternatives. It provides clear context that it is for applying suggestions, not for arbitrary changes.

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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