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ceveyne

find-images-mcp-bridge

by ceveyne

find_image

Search across local network image sources for visually similar or metadata-related matches using text or reference images, with filters and optional metadata ranking.

Instructions

Find visually similar and metadata-related images. Use this tool for cross-modal retrieval over images from several sources across the local network.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoSearch instruction. With target, positively describe additions or changes; without target, write a complete description. Model:, LoRAs:, Tag:, Tags:, Size:, Source:, Origin:, and Timestamp: are hard AND filters.
targetNoReference image: aN, vN, iN, pN, a filename in the scratchpad folder, or an absolute path. Set it for 'like this image', 'same style as a1', or changes to a shown image.
scopeIdNoReserved for the upcoming Search Scope feature; currently has no effect.
excludeImageNoIgnore target pixels. Use only for prompt/metadata similarity, not 'same style' or other image-guided changes.
retrievalLimitNoMaximum number of matching images to return.
includeMetadataNoAdd target generation metadata as a ranking signal across the full corpus, not an identical-metadata filter.
scratchpadFolderYesRequired scratchpad session folder. Obtain this value with get_scratchpad_folder.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations exist, so the description carries the full behavioral burden. It mentions the corpus (local network, several sources) but says nothing about permissions, whether retrieval is read-only, latency, or result set behavior. With 7 parameters and no annotations, this is a meaningful gap.

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?

Two short sentences, purpose front-loaded in the first, context in the second, with no filler. It is efficient, though it borders on under-specified for a 7-parameter retrieval tool.

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?

For a 7-parameter cross-modal retrieval tool with no annotations and no output schema, the description omits the query/target relationship, result behavior, and any operational constraints. The rich schema compensates for parameter meaning, but the description leaves key behavioral questions unanswered.

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 every parameter is already documented, including the subtle query/target interaction and the filter syntax. The description's 'visually similar and metadata-related' phrasing loosely echoes those semantics but adds no format or syntax detail beyond the schema, so baseline 3 applies.

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?

States a specific verb+resource ('Find ... images') and qualifies the retrieval modality ('visually similar and metadata-related'), which is more informative than a bare 'search'. It does not name or contrast with its sibling tag_image, so it falls short of a 5.

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

Usage Guidelines3/5

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

The second sentence gives a usage context ('cross-modal retrieval over images from several sources across the local network'), which implies when the tool is appropriate. However, it names no alternatives and gives no when-not conditions, so usage is only implied rather than specified.

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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