get_odds_trends
Stored odds-comparison snapshots from the arbitrage worker for trend analysis. $0.01 USDC per call on Base.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| days | No | ||
| team | No | ||
| limit | No |
Stored odds-comparison snapshots from the arbitrage worker for trend analysis. $0.01 USDC per call on Base.
| Name | Required | Description | Default |
|---|---|---|---|
| days | No | ||
| team | No | ||
| limit | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. The pricing note ('$0.01 USDC per call on Base') is a genuinely valuable disclosure about cost and payment network, but nothing explains pagination behavior for the limit parameter, how records are ordered, or what happens when no snapshots exist for the range.
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?
Two tight sentences with no filler, and the data-source identification is front-loaded ahead of the pricing note. It is efficient, though efficiency here partly reflects under-specification rather than economy.
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?
For a three-parameter, zero-coverage, annotation-free, output-schema-free tool, the description is far too thin. It covers provenance and cost but leaves the entire parameter surface and return shape unexplained, so an agent has no basis for choosing values or interpreting results.
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?
Schema description coverage is 0% and the description says nothing about days, team, or limit. The three parameters — including a team filter and a result cap — are completely undocumented in both structured and unstructured fields, so an agent must guess at their semantics and interaction.
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 identifies the resource (stored odds-comparison snapshots from the arbitrage worker) and an implied purpose (trend analysis), but it is a noun phrase rather than a verb+resource statement and never clarifies how it differs from its sibling get_odds_trends_summary. An agent can guess it retrieves historical odds data, but the boundary with the summary tool is left ambiguous.
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?
There is no guidance on when to call this versus get_odds_trends_summary, search_markets, or get_quote. 'For trend analysis' hints at a use case but gives no conditions, exclusions, or alternative routing, which matters given a near-identical sibling exists.
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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