Skip to main content
Glama

mhangani_baseline_diff

Compare the latest audit results against your stored baseline to identify changes and drift. Pinpoint security deviations instantly.

Instructions

Compare the latest audit with the stored baseline.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'compare' but does not state whether the operation is read-only, whether it has side effects, requires the baseline to exist, or needs any permissions. This leaves uncertainty for the agent.

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 sentence of eight words, front-loaded with the core action and object. It contains no filler or redundancy, making it highly concise while remaining informative.

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?

Given the tool's simplicity (no parameters) and the presence of an output schema, the one-line description is minimally adequate. However, it omits any context about prerequisites (e.g., baseline must be set), when to use it, or behavioral notes, which would make it more complete for an agent.

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 an empty input schema, so the description cannot add parameter details. The implicit inputs ('latest audit' and 'stored baseline') are clarified in the description, which adds a small layer of meaning beyond the trivial schema. Baseline of 4 applies for zero-parameter tools.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Compare') and names two clear resources ('latest audit' and 'stored baseline'), making the tool's function distinct from siblings like mhangani_baseline_set or mhangani_baseline_show. It is not a tautology and immediately identifies the operation.

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 provides no guidance on when to use this tool versus alternatives such as mhangani_report or mhangani_trend. It simply states the action without context, exclusions, or clear invocation conditions.

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/enternovate/constellation-mcp'

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