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

With no annotations, the description carries the full burden, and it does disclose the return payload (contact info, records department, phone/fax, EHR/EMR system, patient portal, retrieval instructions), a hard result cap of 10, and relevance-based sorting. What it omits is operational behavior: authentication/permission needs, rate limits, empty-result or error behavior, and data freshness.

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?

Front-loaded with purpose, then returns, then usage bullets, then result constraints — every section is scannable and the cap/sorting note is placed where an agent would look. Slight redundancy exists between the opening entity-type list and the 'looking for a hospital or clinic by name, city, or state' bullet, but nothing is wasted enough to harm the definition.

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?

For a 3-parameter read tool with no annotations and no output schema, the description is close to self-sufficient: it explains what is returned, how many results, and how sorting/filtering work, which matters precisely because no output schema exists. The remaining gap is failure-mode behavior (no matches, invalid state codes) and whether results are exhaustive across the US directory.

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 100%, so the baseline would be 3, but the description adds meaning the schema does not: results are relevance-sorted and capped at 10, and the state parameter is positioned specifically as a narrowing filter. It does not clarify interaction between query and state (whether state is redundant when the query contains a city) or how limit interacts with the 10-result ceiling.

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?

States a specific verb (search) and resource (MedicalRecords.com provider directory) plus the covered entity types and geography, and the returned data types are enumerated. It is clearly distinguishable from siblings such as get_patient_portal, find_emr_options, and get_state_records_law, which each target a single facet rather than provider lookup.

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?

Five concrete when-to-use triggers are listed (records requests, ROI department contacts, portal lookup, locating a facility by name/city/state, fax/address for requests), which is well beyond implicit guidance. It stops short of stating when NOT to use it or naming alternative tools, and one trigger ('which patient portal a health system uses') overlaps with the get_patient_portal sibling without resolving that overlap.

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