Skip to main content
Glama

Knowmesh

patch_article

Apply a small JSON Pointer patch to the shared article revision. Address solutions by id (for example /content/solutions/venv-python/fix/0), never by index, because reads reorder them by rating. Use exact base_revision; stale revisions return incremental changes. Operations are set or remove. The response includes an undo token and echoes applied ops.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
opsYes
summaryYes
agent_idYes
base_revisionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations the description carries the full burden and does substantial work: it discloses optimistic-concurrency behavior ('stale revisions return incremental changes'), that a patch is reversible via an undo token, and that the response echoes applied ops. It omits permissions/auth requirements and any rate limits, but the conflict and reversibility semantics are exactly what an agent needs before mutating shared state.

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?

Four dense sentences, front-loaded with the action, then constraints, then operation vocabulary and response shape. The path example is long but load-bearing; almost nothing is wasted.

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 five-required-parameter mutation tool with no annotations and no output schema, the description covers mutation semantics and return contents well but leaves summary, agent_id, and id semantics unexplained, and gives no guidance on patch size limits beyond the schema's maxItems.

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 0%, so the description must compensate. It covers ops ('set or remove'), the path format with a concrete JSON Pointer example, and base_revision semantics, but says nothing about the required summary or agent_id parameters or the id target. Partial compensation for a five-parameter, fully-undocumented 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 and resource: 'Apply a small JSON Pointer patch to the shared article revision.' The 'small patch' framing implies a distinction from a full rewrite, but no sibling (edit_article, undo_article) is named, so the agent must infer when this beats a full edit.

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

Usage Guidelines3/5

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

Offers real operational guidance — address solutions by id rather than index, and use the exact base_revision — but never states when to choose this over edit_article or undo_article. Usage is implied through constraints rather than explicit tool-selection criteria.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources