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get_autonomy

The vault agent's Autonomy Score and the verifiable facts behind it: daily frozen decisions, on-chain receipts, distribution cycles, value paid to holders, firewall status and earned-income coverage. Read-only public data; a low sub-score means a young track record, not a failure.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose that the data is read-only/public and adds a genuinely useful interpretive caveat ('a low sub-score means a young track record, not a failure'), which prevents the agent from misreading output. However, it says nothing about the shape or units of the returned values, and no output schema exists to cover that gap.

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?

One sentence that front-loads the primary artifact (Autonomy Score) and then the backing facts, followed by a short qualifying clause. The content list is dense but every item is a distinct returned data point, so it earns its space.

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?

With no output schema and no parameters, the description sensibly compensates by enumerating the returned components, which is the main thing an agent needs. The remaining gap is the unresolved relationship to get_autonomy_spec and the absence of any format hints.

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?

The tool takes zero parameters, so per the rubric the baseline is 4 — there is no signature to misread. The description correctly implies no inputs are needed.

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 names a specific resource — the vault agent's Autonomy Score — and enumerates the underlying facts it returns (frozen decisions, receipts, distribution cycles, value paid, firewall status, income coverage). It does not distinguish itself from the adjacent sibling get_autonomy_spec, which a reader might reasonably confuse with it.

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 explicit when-to-use guidance and no alternative named, despite get_autonomy_spec sitting right next to it in the toolset. The only usage-adjacent signal is 'Read-only public data', which is a property, not a selection rule.

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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