glm_5_apply_approved_patch

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

With no annotations, the description must disclose behavioral traits. It mentions creating a rollback checkpoint, indicating a safety feature, but fails to describe other side effects (e.g., state changes, permissions required, reversibility, error conditions). For a potentially destructive action, this is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence. However, it sacrifices important information for brevity. While no fluff, it does not earn its place fully because parameter details are missing.

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

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

Given the complexity (mutation action), no output schema, no parameter descriptions, and no annotations, the description is insufficient for an AI agent to invoke the tool correctly and safely. Critical details about success/failure, idempotency, and prerequisites are absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the description does not explain the two UUID parameters 'proposalId' and 'approvalId'. Their difference and usage are unclear from the description alone, leaving the agent to guess their semantic roles.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the primary action ('apply') and the resource ('explicitly approved proposed patch'), with secondary action ('create a rollback checkpoint') that differentiates it from sibling tools like 'glm_5_approve_and_apply_changes' (which combines approval and apply) and 'glm_5_propose_patch' (only proposes). However, it could be more specific about what 'apply' entails.

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

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

No guidance on when to use this tool versus alternatives. For example, 'glm_5_approve_and_apply_changes' might be a combined alternative, but no comparison or when-not usage is provided. Prerequisites (e.g., that approval must exist) are only implied by the parameter name 'approvalId'.

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