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Adafruit IO MCP by usefulapi

Get data point

adafruitio_get_data_point
Read-only

One stored data point of a feed by its id. GET /feeds/{feed_key}/data/{id}.

Input Schema

NameRequiredDescriptionDefault
data_idYesData point id (the `id` field of a data point).
feed_keyYesFeed key (the URL-safe key shown in Adafruit IO, for example 'temperature'; 'group-key.feed-key' also works).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is fully covered by structured data. The description adds essentially nothing behavioral beyond that — no note on error handling for a missing/invalid id, no pagination or result shape context. It does not contradict the annotations, but it is close to a restatement of the operation.

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?

Two compact sentences, front-loaded with the resource and scope. The HTTP route is slightly redundant for an API wrapper but is cheap and occasionally useful; there is no filler.

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

Completeness3/5

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

For a simple two-parameter read with 100% schema coverage, full annotation coverage and no output schema, this is adequate but thin. It never says what a data point contains (value, timestamp) or what happens when the id does not exist, leaving the agent to discover the return shape empirically.

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%, with both feed_key and data_id documented including format hints ('group-key.feed-key' works, data_id is the id field of a data point). The description adds no parameter detail of its own, so the baseline of 3 applies.

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

Purpose4/5

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

The description names a specific resource and scope: a single stored data point of a feed, retrieved by its id, with the underlying HTTP route spelled out. This implicitly separates it from siblings that return collections or the latest value (adafruitio_list_feed_data, adafruitio_get_last_data), though it never names those alternatives explicitly.

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 when-to-use guidance, no statement of prerequisites, and no mention of alternatives for the case where the caller does not already have a data point id. The phrase 'by its id' hints at the precondition, but nothing routes the agent between this tool, adafruitio_list_feed_data, and adafruitio_get_last_data.

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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