check_approval_status

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

Annotations are absent, so the description carries the full behavioral burden. It does disclose the main outcome (classification into three states) and implies a read-only 'find' operation, but it ignores what happens when no reply is found, when several replies match, or whether the tool mutates anything. No annotations, so a 3 is fair: core behavior shown, edge cases invisible.

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?

A single sentence, front-loaded with the verb, with no filler content. The conciseness is a strength, though the sentence is so short it fails to share the additional context this four-parameter tool demands.

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?

An output schema exists, so return-value documentation is not needed here. What's missing is the operational context: the meaning of the default window (since_hours=720), the source being searched, and how this interplays with read_approval workflow siblings. The description is minimally viable but not complete enough for confident use in a novel scenario.

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 description coverage is 0%, and the description only loosely grounds 'approval_id' as the handle to the approval reply. 'limit', 'since_hours', and 'from_address' are left completely unexplained, leaving an agent blind to the filtering and time-window semantics that these parameters clearly imply.

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?

The description states a specific verb and resource ('find' the 'approval reply' and 'classify' it) with a concrete output taxonomy (approved/rejected/pending). It implicitly differentiates from siblings like read_all_messages (generic reads) and wait_for_approval (blocking behavior), but it never names this differentiation, so the agent must infer it from sibling names.

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?

The description gives no 'when to use' or 'when not to use' guidance. There is no mention that this is the non-blocking status look-up, that wait_for_approval is the blocking alternative, or that read_replies is for broader reads. Given the semantically adjacent siblings, an agent is left guessing which tool matches the current intent.

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