Skip to main content
Glama

prepare_task

Prepares a task silently by running preflight checks and holding output until working may begin.

Instructions

Complete silent preflight. Do not show Working until working_may_begin is true.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYes
promptYes
qualityNobalanced
allow_paidNo
allow_user_paysNo
response_detailNo
reasoning_effortNo
max_output_tokensNo
excluded_providersNo
preferred_providersNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.1

TDQS

C2.1/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose that the operation is 'silent' and that it gates the 'Working' indicator on working_may_begin, which is genuine context. However, it doesn't explain what happens if working_may_begin is false, whether it mutates state, whether it's idempotent, or what side effects occur on failure — significant gaps for an unannotated tool.

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 text is efficient with zero wasted words, which is good for structure. However, it is under-specified rather than genuinely concise — the brevity comes at the cost of missing essential information about parameters and behavior, so the efficiency doesn't serve the agent well.

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?

This is a 10-parameter tool with 0% schema description coverage, no annotations, and a rich output schema. The description provides none of the information an agent needs: parameter meanings, prerequisites, expected output interpretation, or side effects. For a tool of this complexity, the description is grossly inadequate.

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?

Schema description coverage is 0% and the description mentions none of the 10 parameters (task, prompt, quality, allow_paid, etc.). With the schema providing no descriptions and the tool description offering zero parameter context, an agent has no way to understand what task, prompt, or the various options mean. The description completely fails to compensate for the coverage gap.

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

Purpose3/5

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

The description states the verb 'prepare' and resource 'task', and conveys it performs a 'silent preflight' step. However, 'preflight' is jargon that is not explained, and the description doesn't clarify what the preflight actually does or how it differs from siblings like route_task, approve_preflight, and run_prepared_task. It's more than a tautology but remains vague on the core action.

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?

There is no guidance on when to use this tool versus the many sibling tools (run_prepared_task, approve_preflight, route_task, confirm_and_run). The second sentence about not showing Working until working_may_begin is true reads as a behavioral directive rather than usage guidance, and no alternatives or exclusions are named.

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