Skip to main content
Glama

find_unusual_activity

Read-onlyIdempotent

Find statistically unusual trade activity using anomaly score and a minimum trade count.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
windowNo5m
minTradesNo
minAnomalyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, covering the safety profile. The description adds some scoping by tying the search to anomaly score and minimum trade count, but it does not disclose output format, ordering, or response behavior.

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 concise sentence with no filler. It front-loads the action and resource, then immediately notes the key filtering logic.

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?

For an all-optional, read-only tool, the description plus schema may be enough to invoke with defaults. However, with no output schema, it does not state what a returned result looks like or precisely what qualifies as 'trade activity,' leaving some ambiguity.

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

Parameters3/5

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. It explains 'anomaly score' and 'minimum trade count' in relation to minAnomaly and minTrades, but leaves limit and window unexplained beyond their names and enum values.

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 ('Find') and resource ('statistically unusual trade activity'), and adds method hints via 'anomaly score and a minimum trade count.' It does not explicitly contrast with sibling find_* tools, but the anomaly-focused framing gives it a distinct purpose among 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?

There is no guidance on when to use this tool versus siblings like find_strong_buying, find_strong_selling, or find_opportunities. Usage context is only implied by the name and vague 'find unusual activity' phrasing, with no exclusions or alternative routing.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources