Skip to main content
Glama

comptext_replay_digest

Generates a deterministic replay digest from workspace context to produce reproducible evidence for debugging or compliance.

Instructions

Create a deterministic replay/evidence digest for the current workspace.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
max_bytesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries full burden but only mentions 'deterministic replay/evidence digest', without explaining what this means, whether the tool modifies state, requires auth, or has side effects. The term 'deterministic' hints at reproducibility but is not elaborated.

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 a single sentence, which is concise but omits critical details. While it is front-loaded, it sacrifices informativeness for brevity. 3 reflects adequacy with clear gaps.

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

Completeness2/5

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

Although the tool has an output schema (not shown), the description does not clarify return values. For a simple tool, more context is needed about what the digest contains and how 'deterministic' applies. Current text is insufficient for confident invocation.

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

Parameters1/5

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

The schema has 0% description coverage for the single parameter 'max_bytes'. The description does not explain its purpose or effect, leaving the agent to guess. Baseline for low coverage requires compensation, but none is provided.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Create') and resource ('deterministic replay/evidence digest') for the current workspace. However, it does not differentiate from sibling tools like comptext_pack_context or comptext_status, which could also relate to workspace contexts.

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 siblings, nor any prerequisites or exclusions. The description lacks context about typical use cases or when alternatives are better.

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/ProfRandom92/comptext-mcp'

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