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UPinar

contrastapi

by UPinar
OverviewSchemaRelated ServersScoreDiscussions
Python
Hybrid

cwe_lookup

Read-onlyIdempotent

Look up MITRE CWE weakness records to understand security vulnerabilities. Returns description, type, mitigations, examples, parent/child CWEs, and CVE count per CWE ID.

Instructions

Look up MITRE CWE (Common Weakness Enumeration) catalog record from research view 1000. Default response is SLIM (first 3 mitigations, first 3 examples; extended_description is null) — pass include='full' for the verbose record (full mitigations + examples lists, populated extended_description). Returns description, abstract type (Pillar/Class/Base/Variant/Compound), status (Stable/Draft/Incomplete/Deprecated), exploit likelihood, recommended mitigations, observed example CVEs, parent_cwe (walk up the hierarchy), child_cwes (drill down to more specific weaknesses), and cve_count (LOWER BOUND — counts only CVEs whose primary CWE matches; CVEs with multiple CWEs may not be counted). Use after cve_lookup or kev_detail to understand the underlying weakness category; chain with cve_search(cwe_id=...) to enumerate all matching CVEs. Returns 404 when the CWE is not in research view 1000. Free: 30/hr, Pro: 500/hr. Returns {cwe_id, name, description, extended_description (null on slim, populated on include='full'), abstract_type, status, likelihood, mitigations (first 3 by default), total_mitigations, examples (first 3 by default), total_examples, parent_cwe, child_cwes, cve_count, updated_at, verdict, next_calls}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cwe_idYesCWE identifier — accepts 'CWE-79', 'cwe-79', or bare '79'. Common values: CWE-79 (XSS), CWE-89 (SQL injection), CWE-78 (command injection), CWE-502 (deserialization), CWE-22 (path traversal), CWE-120 (buffer overflow).
includeNoDetail level. Default ('') returns slim record (first 3 mitigations, first 3 examples; extended_description is null). total_mitigations / total_examples are always honest pre-truncation counts. Pass 'full' to populate extended_description and return the full mitigations + examples lists.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Tool Definition Quality

A4.9/5.0
Behavior5/5

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

Annotations indicate read-only and idempotent. Description adds significant behavioral details: default slim vs full record, cve_count as lower bound (only primary CWE), rate limits, and error response. All consistent with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is packed with useful information but slightly lengthy. It is front-loaded with main action and default behavior. Each sentence adds value, though could be slightly more concise.

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?

With only 2 parameters, full schema coverage, and output schema present, the description covers all necessary aspects: usage flow, error handling, rate limits, field details, and relationship with sibling tools. Complete for an agent to select and invoke correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but description adds value by explaining cwe_id accepts multiple formats (e.g., 'CWE-79', 'cwe-79', '79') and lists common values. For include, it clarifies default behavior and notes that total_mitigations/total_examples are always honest pre-truncation counts.

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 it looks up MITRE CWE catalog records from research view 1000, specifying the resource and action. It distinguishes itself from sibling tools like cve_lookup and kev_detail by explaining it is used after them to understand underlying weakness categories.

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

Usage Guidelines5/5

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

Provides explicit guidance on when to use: after cve_lookup or kev_detail, and how to chain with cve_search. Mentions error behavior (404 if CWE not in research view 1000) and rate limits (30/hr free, 500/hr Pro), offering clear usage context.

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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