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VectorInstitute

usa-npn-mcp-server

observation-comment

Retrieve the comment for a specific observation by providing its observation ID.

Instructions

Retrieve the comment for a given observation (from getObservationComment endpoint), results store as readable Resource 'observation_comment'

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
observation_idYesThe ID of the observation for which to retrieve the comment
Behavior3/5

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

No annotations are provided, so the description carries the burden. It mentions the result is stored as a readable resource, which adds some context about persistence. However, it does not specify read-only nature or any side effects, beyond what is implied by 'retrieve'.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence. However, it redundantly includes the endpoint URL, which could be omitted for conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simple tool (one parameter, no output schema), the description adequately covers the purpose, parameter, and result behavior (stored as resource). It does not explain what happens if the comment is missing, but that is a minor gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description does not add extra meaning beyond the schema; it simply restates the parameter purpose.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it retrieves the comment for a given observation, using a specific endpoint. This verb+resource structure distinguishes it from sibling tools like get-raw-data or individual-phenometrics.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives. The description only states what the tool does, not when it is appropriate or when to avoid it.

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

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