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getActivityLog

Read-only

Query recent tool call logs with filters by name, status, and count. Optionally include per-tool stats, duration percentiles, and co-occurrence analysis.

Instructions

Query recent tool call log: names, timing, status, percentiles, co-occurrence.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolNoFilter by tool name
statusNoFilter by status
lastNoRecent entries to return (default: 50, max: 200)
showStatsNoInclude per-tool stats (call count, avg duration, error count). Default: false
showPercentilesNoInclude per-tool p50/p95/p99 duration percentiles (requires showStats). Default: false
showCoOccurrenceNoInclude tool-pair co-occurrence within the time window. Default: false
coOccurrenceWindowMsNoCo-occurrence window ms (default: 300000, max: 3600000)
Behavior4/5

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

Annotations already indicate readOnlyHint=true. The description reinforces this with 'Query' and adds specific behavioral details about what the log includes (timing, status, percentiles, co-occurrence), providing context beyond the annotation.

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 that efficiently conveys the tool's function without any extraneous words. It includes key aspects of the log query without being verbose.

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?

While the description covers the main purpose and some output details, it lacks information about the return format or potential pagination. Given the absence of an output schema, a bit more detail on the structure of results would improve completeness.

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 coverage is 100%, so all parameters are already well-documented in the JSON schema. The description does not add any additional parameter semantics beyond summarizing the output, which is sufficient given the schema's richness.

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 clearly states it queries the tool call log, specifying details like names, timing, status, percentiles, and co-occurrence. It distinguishes this tool from sibling tools that deal with other logs (e.g., getGitLog, getBufferContent).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit when-to-use or when-not-to-use guidance is given. The description only states what the tool does, leaving the agent to infer usage context from the tool name and siblings. No alternatives are mentioned.

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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