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grooverLab

fable MCP server

fable_context

Searches past conversations and assembles a paste-ready context pack using the strongest threads and a budget, returning a consolidated block.

Instructions

Auto-assemble a paste-ready context pack for a task: searches the archive, picks the strongest threads, splits the budget across them. Returns one sentinel-wrapped block.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
budgetNo
max_threadsNo
projectNo
Behavior3/5

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

With no annotations, the description carries the burden. It discloses the key behavior: searching, selection, budget splitting, and sentinel-wrapped output. However, it does not state whether the tool is read-only or if it modifies any state, and lacks details on side effects.

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?

The description is a single sentence that efficiently conveys the tool's purpose, mechanism, and output. Every part is informative with no redundancy or filler.

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

Completeness3/5

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

Given no annotations, no output schema, and sparse schema descriptions, the description covers the core idea but lacks specifics (e.g., what 'strongest threads' means, budget units, wrapping format). It is minimally adequate but leaves gaps for an agent to infer.

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 description coverage is 0%, so the description must compensate. It adds meaning for 'query', 'budget', and 'max_threads' by describing their role in the process, but does not mention the 'project' parameter, leaving it unexplained.

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 tool auto-assembles a paste-ready context pack for a task, involving searching the archive, picking strongest threads, and splitting budget. It differentiates from siblings like fable_search or fable_recall by focusing on compilation, though it doesn't explicitly contrast with them.

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?

The description gives no guidance on when to use this tool versus alternatives. It does not mention prerequisites, exclusions, or compare to sibling tools, leaving the agent to infer usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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