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Glama

execute_url

Get a deep link URL to place a trade on the best venue for a given market. The URL has a referral code embedded so the platform earns commission. Call this to get the URL, then direct the user to open it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sideNoWhich side to tradeunknown
amountNoUSD amount to trade (for tracking)
sourceNoTool path that produced this execution intentdirect
market_idNoPlatform-specific market ID (e.g. "polymarket-abc123")
route_queryNoOriginal route_market query when source is route
canonical_idNoCross-venue canonical market ID

TDQS

A3.7/5.0
Behavior3/5

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

Discloses referral code and commission, and that the URL is for user action. However, with no annotations, it misses details like whether the tool validates inputs, what happens on network errors, or if it modifies anything server-side.

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?

Two concise sentences that front-load purpose and next step. No redundant or explanatory fluff.

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?

For a tool with 6 parameters and no output schema, the description is brief. It doesn't explain how the 'best venue' is determined, the URL format, or error handling. Additional context would improve usability.

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 parameters have descriptions. The description does not add additional meaning beyond the schema, so baseline score of 3 applies.

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?

Clearly states it gets a deep link URL to place a trade on the best venue for a given market. Differentiates from siblings like get_quote (quote retrieval) and route_market (routing) by focusing on execution via a URL.

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?

Tells when to call (to get the URL) and next step (direct user to open it), but lacks explicit when-not-to-use or comparisons with sibling tools. No guidance on prerequisites or alternatives.

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

A4.1/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: deep link generation, arbitrage detection, historical data, live quotes, unmet demand discovery, and market routing. No two tools overlap in functionality.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with snake_case (execute_url, get_arbitrage, get_history, get_quote, get_unmet_demand, route_market), making them predictable and easy to differentiate.

Tool Count5/5

Six tools is well-scoped for a prediction market surveillance and trading facilitation server. Each tool covers a distinct aspect of the domain without unnecessary bloat or insufficiency.

Completeness5/5

The tool set covers the full lifecycle from market discovery (route_market, get_arbitrage, get_unmet_demand) to data analysis (get_history, get_quote) to action (execute_url), with no obvious gaps given the server's stated purpose.

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