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report_activity

Report an action the agent just performed to its owner's Tracea activity feed (off-chain, free, instant). Call this AFTER every significant action (email sent, message posted, file modified, payment, purchase, booking...). Auth via the Tracea MCP URL (?key=...) from the agent's identity page, OR self-activate with a one-time activation code (?code=... or x-activation-code header) — the tool then receives its apiKey automatically.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
detailsNoOptional JSON string with extra context
summaryYesShort human-readable summary of what was done
categoryYesAction category
agent_addressYesEthereum address of this agent
in_permissionNofalse if this action is OUTSIDE the granted permissions (flagged red)
permission_labelNoWhich owner-granted permission this action falls under

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses that it is off-chain, free, and instant, and explains the auth mechanism (via MCP URL key or self-activation with a one-time code). However, it does not describe what happens after reporting (e.g., response format, side effects) or any rate limits, which are relevant for an action-reporting tool.

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 concise (three sentences) and front-loaded with the core purpose, then usage, then auth details. Every sentence adds value; there is no redundant or filler content.

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

Completeness4/5

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

The description covers the tool's purpose, usage timing, and auth requirements, which is substantial for a tool with no output schema and no annotations. However, it does not explicitly explain return values, differentiation from sibling tools like log_action, or the significance of optional fields like in_permission and permission_label, though those are in the schema. Overall, it is quite complete for its complexity.

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 100%, so all six parameters have descriptions in the schema itself. The tool description adds minimal parameter-specific information beyond that, focusing mainly on when to call and auth. It does not elaborate on parameter semantics, so the baseline of 3 is appropriate.

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 the tool's purpose: 'Report an action the agent just performed to its owner's Tracea activity feed.' It specifies the resource (activity feed) and the verb (report), and distinguishes it from siblings by noting it is off-chain, free, and instant. The scope ('AFTER every significant action') is explicit.

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

Usage Guidelines4/5

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

The description provides clear when-to-use guidance: 'Call this AFTER every significant action' with concrete examples like email sent, message posted, file modified, payment, purchase, and booking. It does not explicitly mention when not to use it or contrast with sibling tools like log_action, but the context is strong.

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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TDQS

A3.9/5.0
Disambiguation3/5

Several tools overlap in the information they return: get_agent_info, verify_agent, and is_agent_revoked all provide agent status or verification details. Descriptions help distinguish raw registry data from a comprehensive verification check, but the boundaries are somewhat blurry, potentially leading to misselection.

Naming Consistency4/5

All tool names follow a consistent verb_noun pattern (get_, is_, log_, report_, verify_), with no mixed casing or unconventional naming. The use of different verbs for different actions is logical, though the get_ prefix dominates the read operations.

Tool Count5/5

With 9 tools, the server is well-scoped and falls within the ideal 3-15 range. Each tool addresses a distinct need in the domain of agent identity verification and action logging, and none feel superfluous or redundant.

Completeness3/5

The server covers reading agent information, verifying identity, and logging actions, but lacks essential lifecycle operations such as registering, updating, or revoking agents. While this may be intentional for an external registry, it leaves notable gaps for a fully self-contained tool set.

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