Skip to main content
Glama

delimit_resource_get

Retrieve a specific resource (repo, pull request, issue, or workflow run) by its identifier from a connected data-plane system. Use to fetch one item when you know the ID.

Instructions

Get a specific resource from a connected data-plane system (Pro).

When to use: to fetch a single item by identifier via a driver — a repo, PR, issue, or workflow run. When NOT to use: to list items (use delimit_resource_list) or inventory drivers (delimit_resource_drivers).

Sibling contrast: delimit_resource_list returns many; this returns one.

Side effects: read-only network call via the driver. Calls ai.data_plane.get_driver and the driver's get_* method.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
driverNoDriver key. Default "github".github
resourceNoOne of "repos", "pull_requests", "issues", "workflows". Required.
identifierNoResource identifier — repo name, PR number, run id. Required.
repoNo"owner/name" required for PRs / issues / workflow runs.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations provided, so description carries the burden. It discloses the operation is read-only ('read-only network call via the driver') and details internal calls (ai.data_plane.get_driver and driver's get_* method). Could mention error handling or requirements but sufficient for transparency.

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 well-organized with clear sections (purpose, when to use, sibling contrast, side effects). Each sentence adds value, no redundancy.

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 presence of an output schema and 4 parameters, the description covers purpose, usage context, parameter relationships, and side effects comprehensively. No gaps identified.

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 coverage is 100% with parameter descriptions. The description adds value by explaining that 'identifier' maps to resource-specific IDs and that 'repo' is required for certain resource types, providing context beyond 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 the tool's purpose: 'Get a specific resource from a connected data-plane system (Pro).' It gives concrete examples (repo, PR, issue, workflow run) and explicitly contrasts with siblings delimit_resource_list and delimit_resource_drivers.

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

Usage Guidelines5/5

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

Explicit 'When to use' and 'When NOT to use' sections, including specific alternatives. The sibling contrast section further distinguishes when each tool should be used.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/delimit-ai/delimit-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server