Skip to main content
Glama

order_competitor_analysis

Order a competitor analysis report (1,500+ words, same-day delivery). Pay $49 USDC on Ethereum mainnet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesEmail address to receive the report
topicYesYour market and competitors to analyze

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description must disclose behavioral traits. It reveals that the tool requires payment ($49 USDC on Ethereum mainnet) and delivery time (same-day), which are critical. However, it does not mention what happens after ordering (e.g., confirmation, failure modes).

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?

The description is a single, efficient sentence that conveys the essential information without filler. Every word adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple ordering tool with two parameters, the description covers the critical operational details (cost, delivery time, word count). It could be more complete by specifying the report format or delivery method, but it is adequate for an agent to understand the core functionality.

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?

Since schema description coverage is 100%, the baseline is 3. The description adds overall context but does not provide additional detail on the parameters beyond what the schema already gives.

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?

The description clearly states the action ('Order'), the resource ('competitor analysis report'), and key attributes (1,500+ words, same-day delivery, $49 USDC payment). This distinguishes it from sibling tools like order_blog_post or order_market_research.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, scenarios, or when not to use it. The payment information is given but not contextualized as a usage condition.

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.

TDQS

A4/5.0
Disambiguation5/5

Each tool has a distinctly different deliverable (blog post, competitor analysis, market research, technical summary), making it easy for an agent to select the appropriate one.

Naming Consistency5/5

All tool names follow a consistent 'order_<noun>' pattern, which is predictable and clear.

Tool Count5/5

With 4 tools, the server is well-scoped for its purpose of ordering research reports; not too few or too many.

Completeness4/5

Covers common report types (blog, competitor, market, technical) but lacks options for custom requests or status tracking, though these are minor gaps for the intended scope.

Resources