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aletheia_get_mandate

Get the current operational safety mandate, permissions, and boundary constraints to know an AI agent's allowed actions before execution. Enforce pre-execution safety filtering and block unauthorized operations.

Instructions

Retrieve the current operational safety mandate, permissions, and active boundary constraints.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.2.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral disclosure burden. The verb 'Retrieve' implies a read-only, non-destructive operation, and the description names the returned content areas (mandate, permissions, boundary constraints). However, it does not disclose possible error conditions, whether a mandate must already exist, or any return format details.

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, front-loaded sentence with no wasted words. It states the action and the resource immediately, making it easy to parse quickly.

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?

For a zero-parameter, no-output-schema tool, the description is nearly complete: it says what is retrieved and implies the result categories. It lacks minor context such as whether the mandate is always available and how the result relates to set_mandate, but these are not needed to invoke the tool correctly.

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 has zero parameters and the schema coverage is 100%, so parameter documentation is not a concern. The description adds meaning by clarifying what the empty invocation returns, which is exactly what an agent needs for a no-argument retrieval tool.

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 uses a specific verb ('Retrieve') and identifies a clear resource: the current operational safety mandate, permissions, and active boundary constraints. It is readily distinguishable from sibling tools like aletheia_set_mandate and aletheia_get_telemetry, though it does not explicitly name 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 that aletheia_set_mandate should be used for modifying the mandate, nor does it clarify whether this is a prerequisite or companion call to other safety tools.

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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