Skip to main content
Glama

get_backlinks

Find all sections linking to a target document, identifying which wiki pages reference it when the source changes.

Instructions

Find all sections that link TO a given document (inverse reference graph). Useful for the LLM Wiki pattern: when a source changes, find which wiki pages reference it. Output: list of {source_file, source_section, source_section_id, link}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoYesRepository identifier (owner/repo or just repo name)
doc_pathYesTarget document path to find backlinks for (e.g., 'raw/article.md' or 'wiki/concepts/auth.md')
Behavior3/5

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

With no annotations provided, the description carries the full burden. It describes the output format but does not disclose whether the operation is read-only, any authentication requirements, or rate limits.

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?

Two concise sentences plus an output format example. Every sentence is informative and front-loaded, with no wasted words.

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?

The description adequately explains the tool's purpose and output shape, compensating for the lack of output schema. However, it could mention if the operation is read-only or any prerequisites.

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 coverage is 100%, and the schema already provides clear descriptions for both parameters. The description adds no additional parameter context, so baseline 3 is appropriate.

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 action ('find') and the specific resource ('sections that link TO a given document'), distinguishing it from sibling tools like get_broken_links or get_related_sections.

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?

Provides explicit context ('useful for the LLM Wiki pattern') and a concrete scenario ('when a source changes, find which wiki pages reference it'), but does not mention when not to use or alternative tools.

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/jgravelle/jdocmunch-mcp'

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