request_observation_resource

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

With no annotations, the description carries the burden of disclosure. It explains important behaviors: no auto-filling missing data, delete confirmation requirement, and providing app links. It stops short of discussing authentication, error handling, or the direct HTTP proxy nature, but covers the most safety-relevant aspects.

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 well-organized: purpose, rules, args, return. It is front-loaded with the key purpose and every section adds value. No redundant or filler content.

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 provides a good overall picture, including CRUD constraints and return type, but the input structure mismatch means an agent cannot reliably invoke it without inspecting the schema closely. Given the tool's simplicity and available output schema, this is a moderate gap rather than severe incompleteness.

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?

The description lists method, path, and body as if they were top-level arguments, but the input schema expects a single 'request' object containing these fields. This mismatch could mislead an agent into constructing an invalid request. The description does add useful examples and constraints for the nested fields, but the missing wrapper is a critical gap.

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 clearly states the tool makes HTTP requests to a FHIR server and is specifically for CRUD operations on the Observation resource. It distinguishes itself from sibling tools by naming the resource type and explicitly limiting scope to Observation.

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 provides explicit guidance on when to use the tool ('only on the FHIR Observation resource'), and gives concrete behavioral rules such as using only user-provided data and asking confirmation before deletion. It does not name alternatives explicitly, but the resource-specific scoping makes the intended use clear.

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