Skip to main content
Glama

Suprsonic

research

Multi-step deep research: search, scrape, enrich entities, and synthesize into a cited report. Cost: standard 10 credits, deep 20 credits, comprehensive 35 credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
depthNoResearch depth.standard
queryYesThe research question or objective.
freshnessNoTime filter for search results.any
synthesisNoGenerate a synthesized report. Set false for raw mode (sources + entities only).
max_sourcesNoMaximum number of sources to collect.
source_typesNoComma-separated source types: web, news, academic.web
enrich_entitiesNoEnrich detected people and companies with profile and firmographic data.
include_analysisNoGenerate computational analysis with charts.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It usefully discloses the research pipeline and credit costs, but omits read-only/destructive nature, latency, auth requirements, rate limits, and failure behavior.

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 sentences, front-loaded with the tool's purpose and then the cost schedule. Every sentence earns its place with no filler.

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 an 8-parameter research tool with no annotations and no output schema, the description conveys process, output type, and cost. However, it lacks usage boundaries and operational expectations, leaving important context gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, giving a baseline of 3. The description adds meaningful depth-cost mapping (standard 10, deep 20, comprehensive 35) that is not present in the schema and directly informs the depth parameter choice.

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?

States a specific multi-step verb and resource: search, scrape, enrich entities, and synthesize into a cited report. This distinguishes it from single-step siblings like search, scrape, and companies.

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 use for multi-step deep research, but does not explicitly say when to choose it over search/scrape or when not to use it. Cost tiers help select depth, but alternative selection guidance is absent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.