Spamhauslookup
spamhauslookupSpamhaus IP Check: Spam/phishing IP blacklist check
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| q | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
spamhauslookupSpamhaus IP Check: Spam/phishing IP blacklist check
| Name | Required | Description | Default |
|---|---|---|---|
| q | No |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the full burden of disclosing behavior. It only says 'Spamhaus IP Check' and 'blacklist check' without explaining data sources, response semantics, rate limits, or whether the input must be a raw IP versus a hostname. Minimal behavioral context is provided.
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 extremely short and the key information (Spamhaus, IP, blacklist) is front-loaded. However, there is some redundancy between the title and description, and the phrasing could be tightened further.
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 single-parameter tool with an output schema, the description is minimally viable but lacks important operational context: no input format details, no explanation of the default empty string, and no pointer to sibling tools. An agent could likely invoke it correctly by guessing, but the definition does not fully support confident selection.
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 schema has no descriptions (0% coverage) and the tool description never mentions the 'q' parameter. While the name and description imply 'q' is an IP address, the agent is left to infer the expected format, whether hostnames are accepted, and what an empty default means.
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 states a specific resource (Spamhaus) and action (IP blacklist check for spam/phishing), so an agent can infer the tool's core function. It does not explicitly distinguish it from similar threat-intel tools like dnsbl or ioc_reputation, but the Spamhaus reference narrows the purpose sufficiently.
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?
No guidance is given on when to use this tool versus alternatives such as dnsbl or ioc_reputation. There are no examples, no conditions for selection, and no exclusions, leaving the agent to guess based on the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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