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HJeon139

Out of Context

by HJeon139

get_context

Retrieve contextual data by name, with support for single or bulk queries. Returns markdown text and associated metadata.

Instructions

Get context by name. Supports both single and bulk operations.

Single: provide 'name' (str). Bulk: provide 'names' (list[str]) or 'name' as list[str]. Returns context with 'text' (markdown body) and 'metadata' (from frontmatter). For bulk operations, returns list of results with errors for missing contexts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
namesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description adequately covers behavior: returns context with text and metadata, and for bulk returns list with errors. It does not mention side effects or auth, but as a read operation, this is sufficient.

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 well-structured with 7 sentences, starting with main purpose, then usage modes, then return format. It is informative without being overly verbose, though could be slightly more concise.

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?

Given the output schema exists, the description adds valuable context about return fields (text, metadata) and error handling for bulk. The tool is simple retrieval and the description is complete.

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

Parameters5/5

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

Schema description coverage is 0%, but the description compensates by explaining the 'name' parameter can be a string or list, and 'names' is a list for bulk. This adds essential meaning beyond the raw 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 clearly states 'Get context by name' and distinguishes between single and bulk operations. It differentiates from siblings like 'search_context' and 'list_context' by explicitly using retrieval by name.

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 explains when to use single vs bulk and what to expect in terms of return format and error handling. However, it does not explicitly state when not to use this tool or mention alternatives among siblings.

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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