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iwant.fyi - demand-side commerce

Get want details

get_want
Read-only

Get details of a specific want by ID, including its responses and constraints.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
want_idYesUUID of the want

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds context beyond annotations by specifying that the response includes 'responses and constraints', which is helpful behavioral information for the agent.

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?

Single sentence with no extraneous information. Every word adds value. Perfectly concise and front-loaded with the action.

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?

For a simple read operation with one parameter, the description is mostly complete. It specifies the input and the content of the output. A minor gap: no mention of error behavior (e.g., what happens if want_id not found). However, for a get operation this is acceptable.

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% with the 'want_id' parameter described as 'UUID of the want'. The description says 'by ID' but adds no additional meaning or constraints beyond what the schema provides. Baseline 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 verb 'get', the resource 'want', and the scope by ID. It also mentions the included data (responses and constraints), which distinguishes it from sibling tools like browse_wants (list) and search (list/search).

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?

The description implies usage for fetching a single want by ID, but provides no explicit guidance on when to use this tool versus alternatives like browse_wants or search. No when-not-to-use or prerequisites 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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TDQS

B3.4/5.0
Disambiguation2/5

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.

Naming Consistency3/5

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.

Tool Count3/5

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.

Completeness3/5

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.