pm_markets_preview
FREE top-1 sample of live Polymarket prediction markets, ranked by volume24hr. No payment required.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
FREE top-1 sample of live Polymarket prediction markets, ranked by volume24hr. No payment required.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description effectively communicates that this is a free, read-only preview returning a single sample. No hidden behaviors are indicated.
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 concise sentences with no waste, front-loading the key point 'FREE top-1 sample'.
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?
Given no output schema or annotations, the description adequately explains the tool's purpose and free nature. Could be slightly improved by hinting at output format.
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?
There are no parameters, so baseline is 4. The description adds context about what the tool does without needing parameter details.
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 clearly states the tool provides a free top-1 sample of live Polymarket prediction markets ranked by volume24hr, distinct from the sibling pm_markets tool.
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 mentions 'FREE' and 'no payment required,' implying it's a preview, but fails to explicitly state when to use this instead of pm_markets or other tools.
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.
The tools are organized into clear families (chain, crypto, defi, pm, enrich, scan) and each targets a distinct data type. The preview tools are explicitly labeled as free samples, reducing but not eliminating confusion with their paid counterparts. Some overlap exists between chain_wallet and chain_balance, and between enrich_domain and enrich_tech_risk, but descriptions clarify the difference.
All tools follow a consistent resource_action pattern using snake_case (chain_balance, crypto_funding, enrich_domain). Preview tools consistently append '_preview' to their paid counterpart. The only minor variation is abbreviations like 'tx', 'pm', 'defi', but these are uniform.
At 22 tools, the server is on the heavy side. The eight preview tools duplicate the functionality of their paid versions and inflate the count, though they serve a legitimate 'try before pay' purpose. The remaining 14 paid tools cover a wide range of risk data, making the count borderline appropriate.
The set covers on-chain balances, token security, DeFi yields, crypto prices, funding rates, prediction markets, domain enrichment, tech-risk CVE scanning, and MCP server auditing, which is a comprehensive risk toolkit. Minor gaps exist (e.g., no historical data, no address reputation, no token price by address), but the core workflows are well covered.