clio_update_medical_records_detail

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

Beyond annotations, the description explains the effect claim and verification model ('effect: Claimed read or write effect; Spring verifies it') and the approval requirement for writes ('approval_ref: Approved platform task UUID when resuming a write'). It also discloses idempotency semantics. The annotations already mark it destructive and not read-only, and the description adds meaningful operational context without contradicting them.

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 compact and front-loaded with the operation identity and routing constraint. The Args list is tightly written with one meaningful phrase per parameter, and there is no unnecessary prose or repetition of schema titles.

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?

The description explains routing, idempotency, effect verification, and approval resumption, which are the tricky parts of this generic connector wrapper. However, it does not explain what updating a medical records detail actually entails, what should go into the arguments JSON, or how this tool relates to neighboring Clio update/create/delete tools. The output schema covers return structure, so that omission is acceptable, but the missing domain and selection context is a real gap.

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%, so the description carries the full parameter burden. It does so by giving each parameter a semantic role: arguments as JSON payload, project_id as authenticated project UUID, connector_account_ref as project-bound alias, idempotency_key as stable business-action identity, and effect/approval_ref as governance controls. This is sufficient even though 'arguments' remains intentionally opaque.

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 identifies the resource and action: a Clio connector operation updating medical records detail. While it leans on the operation name rather than explaining the domain effect, it is clear enough that this is an update to medical_records_detail through Clio, and sibling names like clio_update_medical_record and clio_update_medical_bill indicate different resources.

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 when-to-use or when-not-to-use guidance is given relative to sibling tools like clio_create_medical_records_detail, clio_update_medical_record, or clio_delete_medical_records_detail. The only contextual statement is the routing constraint 'Routes only through the exact project/account governed connector authority,' which is a prerequisite, not usage guidance.

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