get_competitor_intel
Synthia competitor tracking - feature launches, pricing changes, and strategic moves.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| competitor | No | Filter by competitor name (partial match) |
Synthia competitor tracking - feature launches, pricing changes, and strategic moves.
| Name | Required | Description | Default |
|---|---|---|---|
| competitor | No | Filter by competitor name (partial match) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description lists data categories but says nothing about side effects, permissions, data freshness, or whether the operation is read-only. With no annotations provided, the description carries the full burden of behavioral disclosure, and it falls short.
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 a single, concise sentence that is easy to parse. The hyphenated list is efficient, though the leading 'Synthia' adds marginal value and could be omitted. Overall, it is appropriately sized with no redundant fluff.
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?
For a tool with one optional parameter and no output schema, the description offers a reasonable high-level overview. However, it omits the optional filter behavior and does not clarify what the response will contain, making it slightly incomplete for an agent that needs to know whether a competitor name is required and what to expect in the result.
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?
The input schema fully documents the single optional parameter 'competitor' with a clear description ('Filter by competitor name (partial match)'). Schema description coverage is 100%, so the description adds no additional parameter meaning, warranting the baseline score of 3.
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 identifies the tool as competitor tracking and enumerates the types of information it covers (feature launches, pricing changes, strategic moves). This distinguishes it from sibling tools like get_market_regime and get_social_trends, though it lacks a strong imperative verb like 'retrieve' or 'list'.
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 provides no guidance on when to use this tool versus alternatives, no mention of prerequisites, and no exclusions. It is a purely descriptive sentence without any contextual or comparative usage information.
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 targets a distinct domain: competitor intel, market regime, social trends, trading signals, token risk analysis, server health, and tool discovery. Even scan_token and scan_token_preview are clearly differentiated as full analysis vs. quick preview.
Four tools follow a consistent get_* pattern, and two follow scan_* pattern, but 'health' and 'list_tools' break the convention. Mixed verb styles and one bare noun reduce consistency.
Eight tools is well-scoped for a specialized crypto intelligence server, covering market analysis, social trends, competitor intel, and risk scanning without unnecessary bloat.
The core lifecycle of intelligence gathering and risk assessment is covered, including full and preview token scans. Minor gaps exist (e.g., no direct token metadata endpoint), but agents can work around them with existing tools.