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Glama

supportpages_review_sections

Destructive

Accept or reject a selected section suggestion without starting generation; pass the recommendation ID to create_article to generate an accepted article.

Instructions

Accept or reject one selected suggestion. Acceptance never advances onboarding or starts generation. Generate an accepted article recommendation explicitly with create_article and recommendation_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
decisionYes
workspaceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNo
resultNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.7

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, destructiveHint=true and openWorldHint=true, and the description adds a genuinely non-obvious behavioral fact: accepting does not start generation or advance onboarding, which prevents an agent from expecting downstream side effects. It does not explain what rejecting destroys or whether the decision is reversible, so the destructive profile remains only partially covered.

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?

Three short sentences, front-loaded with the core action and then the two most likely agent misreadings (implied side effects, how to actually generate). No filler, though the final sentence's phrasing ('Generate an accepted article recommendation explicitly with create_article and recommendation_id') is slightly tangled.

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?

An output schema exists so return values need no explanation, and the description covers the key behavioral caveat and hand-off tool. But with 3 parameters at 0% schema coverage and no explanation of what 'id' refers to, an agent lacks enough to confidently map a suggestion to the call.

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% across 3 parameters, so the description must compensate and largely does not: it never explains what 'id' identifies (a section, a suggestion, or a recommendation) or what 'workspace' scopes. The only parameter-like hint, recommendation_id, is not even a parameter of this tool, and 'decision' is self-explanatory only because of its enum.

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 action and scope: 'Accept or reject one selected suggestion', which gives a concrete verb pair and limits the operation to a single item. However the description never says 'section' despite the tool name review_sections, and the sibling supportpages_review_recommendations plausibly performs the same accept/reject action, so sibling differentiation is left ambiguous.

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?

Gives useful when/next-step guidance: it warns that acceptance does not advance onboarding or start generation, and routes the agent to create_article with the recommendation_id when generation is actually wanted. It does not, however, distinguish this tool from review_recommendations, leaving one obvious alternative unaddressed.

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