Skip to main content
Glama
aeoess

agent-passport-system-mcp

detect_purpose_drift

Detect purpose drift in data workflows: compare current purpose against original and allowed purposes to flag unauthorized changes (e.g., research to commercial).

Instructions

Detect when data purpose drifts through a workflow (e.g. research → commercial).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
originalPurposeYes
currentPurposeYes
intermediateStepsNo
allowedPurposesYes
Behavior2/5

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

With no annotations, the description must fully communicate behavioral traits. It only states that it 'detects' drift, but does not disclose whether it modifies data, requires authentication, or what side effects occur. The read-only nature is implied but not explicit.

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

Conciseness2/5

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

The description is a single sentence, which could be concise, but it is under-specified and lacks structure. It does not front-load key information about parameters or expected usage, making it insufficient for effective tool selection.

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

Completeness2/5

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

Given the tool has 4 parameters with no schema descriptions, no output schema, and no annotations, the description is far from complete. It fails to provide enough context for an agent to correctly interpret the inputs or understand the output format.

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%, so the description must compensate by explaining parameters. However, it does not mention any of the four parameters ('originalPurpose', 'currentPurpose', 'intermediateSteps', 'allowedPurposes'), leaving the agent without critical context for invocation.

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 clearly states the tool's purpose: detecting data purpose drift in a workflow, with a concrete example. It uses a specific verb-resource pair and is distinguishable from sibling tools like 'check_purpose_permitted'.

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?

No guidance is provided on when to use this tool versus alternatives. The description does not specify prerequisites, when to avoid, or how it differs from similar tools such as 'check_purpose_permitted'.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/aeoess/agent-passport-system-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server