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Glama

configure_task_manager

Set safety limits for concurrent tasks, timeouts, delegation depth, spawned agents, and approval requirements for command execution, file writes, and destructive operations.

Instructions

Configure task manager safety limits.

Args: max_concurrent: Maximum concurrent tasks. default_timeout: Default timeout in seconds. max_depth: Maximum delegation depth. max_spawned_agents: Maximum spawned agents. require_command_approval: Require approval for command execution. require_file_write_approval: Require approval for file writes. require_destructive_approval: Require approval for destructive operations.

Returns: JSON: {"ok": true, "config": {...}}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
max_depthNo
max_concurrentNo
default_timeoutNo
max_spawned_agentsNo
require_command_approvalNo
require_file_write_approvalNo
require_destructive_approvalNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full burden, and it partially meets it: it explains what each approval flag gates (command execution, file writes, destructive operations), which is genuine behavioral context. However, for a mutation tool it omits persistence scope, whether omitted fields reset to defaults, permission requirements, and reversibility of the change.

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

Conciseness4/5

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

Front-loaded one-line purpose followed by a compact arg-by-arg list and a short returns note. No filler. The Returns section is somewhat redundant given an output schema exists, but it costs little.

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?

For a seven-parameter mutation tool with no annotations, the definition should clarify persistence scope, default-handling on omission, and whether changes affect in-flight tasks. It covers parameter meaning and the response shape (also available via output schema) but leaves the operational consequences of the mutation unexplained.

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, and it does enumerate all seven parameters with a one-line gloss each. But most glosses merely restate the schema title (e.g. 'max_concurrent: Maximum concurrent tasks'), adding little meaning; only 'default_timeout: Default timeout in seconds' supplies information the schema lacks. Adequate but thin.

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?

States a specific verb+resource: configure the task manager's safety limits, and the body enumerates the exact safety dimensions (concurrency, timeout, delegation depth, approval gates). This clearly distinguishes it from task-execution siblings like delegate_task or get_task. It stops short of 5 because it never names a sibling alternative.

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 when-to-use, when-not-to-use, or prerequisite guidance. Nothing tells the agent whether this is per-session, global, or persistent, or when it should be called instead of request_task_approval or resolve_approval, which also touch the approval machinery.

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