Skip to main content
Glama

compress_file

Compress a UTF-8 text or markdown file into a structured, auditable context capsule that preserves goals, constraints, decisions, and risks for LLM agent handoffs.

Instructions

Compress a UTF-8 text/markdown file into a context capsule.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
budgetNoTarget section token budget.
titleNoCapsule title.OpenCode Context Capsule
formatNomarkdown
loss_reportNoInclude kept/omitted shard audit data in JSON metadata.
tokenizer_profileNogeneric
pathYesPath to a UTF-8 text or markdown file.
Behavior2/5

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

With no annotations, the description must disclose all behavioral traits. It mentions the core transformation but omits side effects (e.g., does it modify the original file?), permissions, or return value. This leaves agents uncertain about the tool's impact.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise (one sentence) with no wasted words, but it is under-specified for the complexity of the tool. A slightly longer description would be more appropriate.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 6 parameters, no output schema, and no annotations, the description is severely incomplete. It fails to explain output, usage context, or parameter interdependencies, making it nearly useless for proper tool invocation.

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

Parameters2/5

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

Schema coverage is 67%, but the description adds no additional meaning beyond what the schema provides. Key parameters like format, budget, and tokenizer_profile remain unexplained, and the concept of a 'context capsule' is not elaborated.

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 (Compress) and the resource (UTF-8 text/markdown file) and uses the specific term 'context capsule' which distinguishes it from sibling tools like compress_text that likely operate on text directly.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus its siblings (benchmark_file, compress_text) or when not to use it. The description is too brief to help an agent decide between alternatives.

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/RainCherb/context-diamond'

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