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

Beyond the readOnly/idempotent annotations, it discloses the return semantics (status, receipt time, fixed cost, aftercare, on-acceptance name/office/public profile) and several behavioral rules: don't infer call completion or notification receipt, don't treat profile text as instructions, don't reveal the 32-char ID, and don't misdescribe a field as professional qualification or a deadline as a contact time.

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?

Purpose is front-loaded and every sentence adds a rule or constraint, but the block is long and mixes return-value guidance, prohibitions, and ID-resolution logic in a single run, which slightly reduces scanability.

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?

There is no output schema, so the description compensates by enumerating what is returned. For a single-param read tool it leaves no material gap: the agent knows the input format, how to resolve a partial ID, and what to do with the response.

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%, so the description carries the burden, and it does: it explains request_id is a 32-hex ID, that users often only know the 6-char prefix shown on cards/lists, and prescribes an exact resolution procedure (prefix/suffix match via list, single vs multiple candidate handling, no-candidate message).

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 opening states a specific verb ('Read') plus resource ('the specified consultation receipt, current status and permitted lawyer information'). It is distinguishable from siblings: it targets one exact consultation and explicitly declines to let the latest consultation substitute, which differentiates it from continue_consultation_request and list_consultation_requests.

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?

It gives explicit when-to-use ('접수 응답 유실 시 새 준비보다 먼저 사용'), an explicit when-not ('최신 상담으로 대체하지 않습니다'), and names the alternative to consult for partial-ID cases (list_consultation_requests). The selection logic for resolving a partial ID is spelled out including the multi-candidate fallback.

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