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Agent activity

get_agent_activity
Read-onlyIdempotent

One AI agent's trade log, decision-day notes, or research memos, with rationales and cited sources. Simulated, not recommendations.

Input Schema

NameRequiredDescriptionDefault
kindYestrades: trade log; notes: daily notes; memos: research memos.
agentYesAgent slug (see list_agents).
limitNoDefault 20 (5 for memos).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, so the safety profile is covered. The description adds genuinely new context: output carries rationales and cited sources, and the content is simulated rather than advice — useful disclosure for an agent summarizing results. It stops short of stating pagination, ordering, or what an empty result means.

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

Conciseness4/5

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

Two compact sentences with the resource stated first and the disclosure trailing. Nothing is padded, though the phrasing 'decision-day notes' is slightly obscure relative to the schema's 'daily notes'.

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?

With no output schema, the description usefully characterizes the returned content (trade log with rationales and cited sources). However, it omits result-size behavior, ordering, and how the three kinds differ in shape — gaps an agent must guess at for a read tool with three modes.

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% and all three parameters are documented inline, including the enum meanings for kind and the limit default. The description adds no parameter-level detail beyond schema, so baseline 3 applies.

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

Purpose3/5

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

The description names the resource (one agent's trade log, notes, or memos) and the payload contents (rationales, cited sources), which is more than a restatement of the name. But there is no verb and no differentiation from close siblings like get_agent_positions or get_agent_disagreements, leaving the agent to infer boundaries.

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 statement of when to call this versus siblings such as get_agent_positions (positions vs. trade history) or get_agent_disagreements. 'Simulated, not recommendations' is a domain disclaimer, not usage guidance. The only routing hint, 'see list_agents', lives in the schema, not the description.

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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