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Syntropi O++

Set an agent spending grant

private_agent_delegation_set
Destructive

As the verified human account owner, authorize one claimed registration to invoke internal agents under a per-Task maximum and UTC monthly commitment ceiling. This creates no Task and no wallet credit; signed token capabilities and live Space membership remain required.

Input Schema

NameRequiredDescriptionDefault
registration_idYes
per_task_max_creditsYes
monthly_commitment_max_creditsYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

The description adds real value beyond the annotations: it discloses that this creates no Task and no wallet credit, and that token capabilities and Space membership are separately required. But with destructiveHint=true set, the most important unanswered question is whether setting a grant overwrites or invalidates a prior grant — the description is silent on that, which is the core risk of this mutation.

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?

Two dense sentences, front-loaded with the authorization condition and ending with the non-effects and dependencies. Nothing is padding, though the phrasing is tightly packed enough that a reader must parse clauses like 'UTC monthly commitment ceiling' carefully.

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

Completeness4/5

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

An output schema exists, so return values need no explanation, and auth plus non-effects are covered. The remaining gap is overwrite/replace semantics for an existing grant, which matters given the destructive hint and is the one thing an agent could get wrong.

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

Parameters4/5

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

Schema coverage is 0%, so the description must carry the semantics, and it does map all three: registration_id ('one claimed registration'), per_task_max_credits ('per-Task maximum'), and monthly_commitment_max_credits ('UTC monthly commitment ceiling'). The UTC qualifier is a useful addition the schema lacks, though the string-typed credit format and units are still undocumented.

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 states a specific verb (authorize) and a specific resource (one claimed registration's ability to invoke internal agents) with the two spending caps defined. It is clearly distinct from private_agent_delegation_list and private_agent_delegation_revoke, though it never names them explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Prerequisites are implied rather than prescribed: the caller must be 'the verified human account owner' and the registration must be 'claimed,' and signed token capabilities plus live Space membership 'remain required.' However, there is no explicit when-to-use guidance versus adjacent tools like private_agent_budget or private_agent_setup_configure, leaving the agent to infer the boundary.

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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