Run a real AI analysis on your code — free preview. 350-token output, 500-char code cap. Returns actual AI output so you can judge quality before paying. No account needed. Upgrade to the paid x402 endpoint for full unlimited results.
| Name | Required | Description | Default |
|---|---|---|---|
| code | Yes | ||
| service | Yes | ||
| language | No | python |
| 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?
No annotations exist, so the description carries the burden. It discloses code and output limits and states no account is needed, but does not explicitly clarify read-only behavior or potential side effects. The information is adequate but not comprehensive.
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?
The description is concise with four sentences, front-loading the primary purpose. It efficiently communicates key constraints and upgrade path without unnecessary text.
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?
An output schema exists, so return values are covered. However, with 3 parameters and no annotations, the description should detail all parameters and behavioral context. It is incomplete regarding 'service' and 'language', affecting overall completeness.
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%, so the description must compensate. It mentions a 500-character code cap, adding value for the 'code' parameter, but fails to explain the 'service' or 'language' parameters. This leaves significant gaps in understanding parameter meaning.
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 runs an AI analysis on user code as a free preview, specifying output and code caps. It distinguishes itself from sibling tools like 'list_services' or 'preview' by focusing on trial execution.
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 explicitly recommends using this tool for free previews before deciding on paid upgrades, and suggests the paid x402 endpoint for unlimited results. It does not exclude other use cases or mention alternative tools, but provides clear usage context.
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.
Each tool has a clearly distinct purpose: listing services, getting details, previewing output, running a trial, generating an SDK snippet, and obtaining payment instructions. No overlap.
Most names follow a verb_noun pattern (get_*, list_*, run_trial), but 'preview' is a standalone verb and 'service_info' is noun_noun, causing minor inconsistency.
6 tools is appropriate for a service offering paid developer tools with free trials, previews, and payment guidance. Each tool earns its place.
The tool set covers the full workflow: discovery (list_services, service_info), evaluation (preview, run_trial), integration (get_instant_sdk_snippet), and payment guidance (get_payment_guide). No obvious gaps.