Skip to main content
Glama

dense_text

Provides a complete structural graph of a codebase using dense sigil notation, mapping entities, relationships, and scopes. Enables LLMs to navigate code structure without reading files.

Instructions

Full structural graph in dense sigil notation — the complete map of entities, relationships, and scopes. This is the primary context tool: feed it to the LLM so it can navigate without reading files.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description must carry the full burden. It describes the output as a 'complete map' but does not disclose performance implications, output size, or format details beyond 'dense sigil notation'.

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 sentences, no wasted words. The key information is front-loaded.

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?

Given the tool has an output schema and zero parameters, the description adequately explains the tool's purpose and output format. It could mention potential size or usage notes but is sufficient.

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?

There are zero parameters and schema coverage is 100%, so the description's role is to explain the tool's output. It does so by describing the structural graph and its purpose.

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 returns a 'full structural graph in dense sigil notation' and identifies it as the 'primary context tool', distinguishing it from siblings like 'graph_view' and 'find'.

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 advises to 'feed it to the LLM so it can navigate without reading files', implying use case. However, it does not explicitly 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/James-Chahwan/repo-graph'

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