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get_posts

Retrieve full content for up to 20 selected posts by their URNs. Use after listing posts to read only the posts you need, turning search results into actionable prospect intelligence.

Instructions

Fetch full content for a specific list of posts by their URNs.

Use this after list_posts() to read only the posts you actually need. Accepts up to 20 URNs per call. URNs come from the 'urn' field in list_posts results.

Args: urns: List of post URN strings to fetch (max 20).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urnsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description carries the behavioral burden. It discloses the 20-URN limit and that URNs originate from list_posts, but does not mention error handling, invalid URN behavior, or whether the operation is strictly read-only beyond the word 'Fetch'.

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 concise and well-structured: a one-sentence summary, usage guidance, a constraint, and a clear Args block. Every sentence contributes useful information with no redundancy.

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?

For a simple fetch-by-URN tool with an output schema, the description covers the essential aspects: what it does, when to use it, and parameter constraints. Minor gaps like behavior for nonexistent URNs or pagination are not critical given the output schema exists.

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

Parameters4/5

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

Schema description coverage is 0%, so the description must compensate. It explains that 'urns' is a list of post URN strings to fetch and adds the critical max-20 constraint, which is absent from the schema.

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 states a specific verb ('Fetch') and resource ('full content for a specific list of posts'), and clarifies the key identifier (URNs). This clearly distinguishes it from sibling tools like list_posts or search_posts.

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?

It explicitly says to use this tool after list_posts() to read only needed posts, and points out that URNs come from the 'urn' field in list_posts results. It provides clear context but does not explicitly state when not to use it or name direct alternatives.

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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