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find_entities

Search and filter Kanka campaign entities like characters, locations, and quests by name, type, tags, or date to find specific information quickly.

Instructions

Find entities by search and/or filtering

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoSearch term (searches names and content)
entity_typeNoEntity type to filter by
nameNoFilter by name (partial match by default, e.g. 'Test' matches 'Test Character')
name_exactNoUse exact matching on name filter (case-insensitive)
name_fuzzyNoUse fuzzy matching on name filter (typo-tolerant)
typeNoFilter by Type field (e.g., 'NPC', 'City')
tagsNoFilter by tags (matches entities having ALL specified tags)
date_rangeNoFor filtering journals by date
include_fullNoInclude full entity details
pageNoPage number for pagination
limitNoResults per page (default 25, max 100, use 0 for all)
last_syncedNoISO 8601 timestamp to get only entities modified after this time
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions 'search and/or filtering' but lacks critical behavioral details: whether this is a read-only operation, how results are returned (e.g., pagination details beyond schema), error conditions, or performance implications. The description is too vague for a tool with 12 parameters.

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 a single, efficient sentence: 'Find entities by search and/or filtering.' It's front-loaded with the core purpose and wastes no words. Every part earns its place, making it highly concise.

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

Completeness2/5

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

Given the complexity (12 parameters, no annotations, no output schema), the description is inadequate. It doesn't explain return values, error handling, or behavioral nuances. For a search/filter tool with many options, more context is needed to guide effective use, especially without annotations or output schema.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema fully documents all 12 parameters. The description adds no additional parameter semantics beyond implying search/filtering capabilities. This meets the baseline of 3 since the schema does the heavy lifting, but the description doesn't compensate with extra context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Find entities by search and/or filtering.' It specifies the action (find) and resource (entities) with the mechanism (search/filtering). However, it doesn't differentiate from sibling tools like 'get_entities' or 'check_entity_updates,' which likely have overlapping functionality.

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

Usage Guidelines2/5

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. With siblings like 'get_entities' and 'check_entity_updates,' the agent must guess based on names alone. There's no mention of prerequisites, exclusions, or comparative use cases.

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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