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Nullcone Threat Intelligence

by io.github.maco144

warm_prompt_cache

Load all PROMPT IOCs from SpacetimeDB into the in-memory hash set.

Call once at startup (or after a major feed update) to populate the
sub-1ms query cache. Subsequent check_prompt() calls require no network
access. The cache auto-refreshes every 5 minutes in the background.

Returns:
    loaded:          Number of PROMPT IOC hashes loaded
    duration_ms:     Time taken to warm the cache
    window_sizes:    Token window sizes used for querying

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral disclosure burden. It explains that the operation loads data into an in-memory hash set, eliminates network access for subsequent checks, and auto-refreshes every 5 minutes in the background. This is substantive behavioral context beyond the tool name.

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 tightly structured: a one-sentence purpose, a short usage note, and a clean Returns list. No filler or redundancy exists, and every sentence adds meaningful information.

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

Completeness5/5

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

Given zero parameters, no output schema, and no annotations, the description fully covers the tool's purpose, invocation timing, performance implications, auto-refresh behavior, and return values. There is no obvious gap for an agent to invoke it correctly.

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?

The tool has zero parameters, so the baseline is 4. The description appropriately focuses on the return fields (loaded, duration_ms, window_sizes) instead of parameter details, which would be irrelevant here.

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 opens with a specific verb and resource: 'Load all PROMPT IOCs from SpacetimeDB into the in-memory hash set.' This clearly identifies the tool's function and distinguishes it from siblings like check_prompt and prompt_cache_stats, which query or inspect the cache rather than populate it.

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

Usage Guidelines4/5

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

Usage guidance is explicit: 'Call once at startup (or after a major feed update)' and notes that subsequent check_prompt() calls require no network access. This gives clear when-to-use context, though it does not explicitly name alternative tools or state when not to use it.

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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TDQS

A3.9/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but there is notable overlap among threat-fetching methods: get_new_threats, poll_since, and drain_subscription all retrieve new threats via different mechanisms, and several stats tools (get_stats, freshness_limits, prompt_cache_stats) serve similar informational roles. Overall, descriptions help disambiguate, but a few tools could be confused.

Naming Consistency3/5

The naming is predominantly snake_case, but mixes verb_noun (check_freshness, submit_ioc), noun phrases (family_threats, freshness_limits), and even a question (is_ioc_revoked). 'unsubscribe' breaks the pattern of other subscription tools (subscribe_threats, drain_subscription). This inconsistency is noticeable though still readable.

Tool Count3/5

30 tools is on the heavy side for a single MCP server, exceeding the typical 15-tool comfort zone. However, the server covers a broad domain—IOC submission, retrieval, subscriptions, freshness tracking, prompt/skill scanning, and registry monitoring—so the large number is somewhat justified by the scope.

Completeness4/5

The tool surface covers the full threat intelligence lifecycle: submit (submit_ioc, submit_batch), query (lookup_ioc, search_by_type, recent_threats, family_threats), subscribe (subscribe_threats, drain_subscription), update (report_detection, vote_false_positive), and revoke (revoke_ioc). Minor gaps exist, such as the absence of a direct delete or update signature tool and no get-by-signature-id endpoint, but these are manageable for agents.

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