Skip to main content
Glama

consolidate_fragments

Group related salvaged document fragments into clusters for a given query, preparing high-quality indexable artifacts from heterogeneous sources.

Instructions

Cluster salvaged fragments for a query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kwargsYes
Behavior2/5

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

With no annotations, the description should fully disclose behavior. It only says 'cluster', which implies grouping but does not explain what happens to the fragments, whether it mutates state, or what the output format is. The mutation/destructive nature is unclear.

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 extremely concise at six words, which is efficient but sacrifices necessary detail. It is front-loaded with the verb, but does not earn its place as it omits critical information.

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?

Given the tool's simplicity (one opaque parameter, no output schema, no annotations), the description is insufficiently complete. It does not clarify how to use the kwargs, what clustering means, or what the result provides, leaving significant gaps for an AI agent.

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 sole parameter 'kwargs' is an opaque object with no description in the schema or the tool description. With 0% schema description coverage, the description fails to add any meaning to this parameter, leaving the agent with no guidance on what keys or values to provide.

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 uses the specific verb 'cluster' and identifies the resource as 'salvaged fragments for a query', making the general purpose clear. It is distinguishable from related tools like list_salvaged_fragments and generate_fragment_synthesis, but lacks detail on the clustering approach.

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 alternatives (e.g., when to cluster vs list or synthesize). There are no usage contexts, prerequisites, or exclusions stated.

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/fbailleux2/kfabric'

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