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reddit_by_id

Read-only

Retrieve up to 100 Reddit posts in one API call using their t3_ fullnames. Get post details like title, author, score, and comment count without per-post requests.

Instructions

Bulk-fetch posts by their t3_ fullnames in ONE call (up to 100), instead of a request per post. Pass a comma-separated list of fullnames you already have from a search or listing to hydrate them. Returns posts with title, author, score, comment count, and permalink — the same post shape as the listing endpoints. An unknown id is simply absent from the result. Example: fullnames='t3_abc123,t3_def456'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fullnamesYesComma-separated post fullnames, each a t3_ prefix followed by the base-36 id (e.g. 't3_abc123,t3_def456'). Up to 100. Required (path parameter).
Behavior5/5

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

Beyond the annotations (readOnlyHint, destructiveHint), the description discloses key behaviors: the 100-post limit, the absence of unknown IDs from results, and the exact return fields (title, author, score, comment count, permalink). This adds significant value for an agent invoking the tool.

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

Conciseness5/5

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

The description is three sentences, front-loaded with the primary purpose, and includes an example without any fluff. Every sentence contributes useful information.

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

Completeness5/5

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

With a single parameter, no output schema, and good annotations, the description covers return shape, edge cases, limits, and an example. No critical information is missing for an agent to select and invoke the tool correctly.

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 repeats the schema details and provides an example, but does not add new semantic meaning beyond what the schema already documents.

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 a specific verb-resource pair ('Bulk-fetch posts by their t3_ fullnames') and distinguishes the tool from siblings by emphasizing the bulk/one-call capability versus a request per post. It also communicates the intended use case (hydrating posts from a search or listing).

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

Usage Guidelines4/5

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

The description provides clear context on when to use this tool ('fullnames you already have from a search or listing') and contrasts with a per-post request approach. However, it does not explicitly name alternative sibling tools or state exclusions, so it stops short of a 5.

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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