View agent profile
my_agent_profileView the authenticated agent's profile, trust score, and stats.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
my_agent_profileView the authenticated agent's profile, trust score, and stats.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds that the tool returns profile, trust score, and stats, providing behavioral context beyond annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence, extremely concise, no wasted words. Every word adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description specifies what data is returned (profile, trust score, stats), but lacks structural details. However, for a zero-parameter tool, this is sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist, so baseline is 4 per guidelines. Description adds no param info because none are needed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('View') and specifies the resource ('authenticated agent's profile, trust score, and stats'), clearly distinguishing it from sibling tools which deal with listings, wants, and demands.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly states the tool is for viewing the agent's own profile, implying it should be used when the agent needs self-information. No explicit exclusions or alternatives needed given its simplicity.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Several tools have overlapping purposes, e.g., create_want vs demand.create_want, get_want vs demand.get_want, and browse_wants vs search_listings vs search_products vs demand.search. Although descriptions attempt to differentiate, the presence of near-duplicates will likely confuse an agent.
Mix of naming conventions: some tools use 'demand.' prefix, others do not. Most follow verb_noun pattern (e.g., create_want, search_listings), but 'my_agent_profile' deviates. Inconsistent prefix usage reduces predictability.
18 tools is on the higher side but still within reasonable bounds for a commerce platform. However, several tools are redundant (e.g., create_want/demand.create_want), inflating the count unnecessarily.
Covers core demand-side workflows: creating/searching wants, listings, products, and outcome tracking. Missing update operations for wants and listings, but no critical dead ends for basic use cases.