Search Favicon MMH3
search_favicon_mmh3Search favicon by mmh3 hash (paginated).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | ||
| limit | No | ||
| mmh3_hash | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
search_favicon_mmh3Search favicon by mmh3 hash (paginated).
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | ||
| limit | No | ||
| mmh3_hash | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare the tool read-only, idempotent, and non-destructive. The description adds the 'paginated' behavior, which is useful beyond the annotations, but doesn't disclose details like result ordering or authorization. This is acceptable given the safety profile is already covered.
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 phrase, front-loaded with the verb and resource, with no wasted words. It is appropriately sized for a simple search tool.
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 straightforward search tool, the description, annotations, and output schema together provide sufficient context. The lack of usage guidelines is a minor gap, but the tool is simple enough that the overall completeness is solid.
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 only identifies mmh3_hash as the search key, but doesn't explain page/limit semantics or hash format. The schema parameter names are self-explanatory, but the description provides minimal additional 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 it searches favicons by mmh3 hash, using a specific verb, resource, and key. It distinguishes from sibling tools like search_by_favicon by specifying the hash algorithm, even though it doesn't explicitly name alternatives.
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?
There is no guidance on when to use this tool versus alternatives like search_by_favicon or get_favicon. The description only states the action, leaving usage scenarios unaddressed.
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.
Many tools overlap in purpose, particularly the JS fingerprint search functions (e.g., search_js_fingerprint_by_md5 and search_jsfingerprints_by_md5) which are nearly identical. The large number of get_* and search_* tools for various statistics also creates boundary ambiguity.
The verb_noun pattern is mostly followed, but there are significant inconsistencies: 'jsfingerprints' vs 'js_fingerprints' vs 'js_fingerprint', and the occasional use of 'find' instead of 'search' (e.g., find_js_fingerprint_similar_by_hash). This mixed style makes it hard to predict tool names.
With 128 tools, the server is severely over-scoped. Many tools could be combined (e.g., all search_jsfingerprints_by_* variants) or parameterized. The sheer number overwhelms an agent and suggests poor API design.
The core URL scanning workflow (submit, retrieve results, search, analyze) is well covered, including detailed sub-analyses like malware, YARA, and JS fingerprints. Minor gaps include no scan cancellation or user-specific scan listing, but overall coverage is strong.