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Graphicle-AI

Graphicle MCP Server

Official

recall_project

Read-onlyIdempotent

Search a project's files and conversations for original source evidence and reviewed memory by asking a question; get cited excerpts within a token budget.

Instructions

Find original source evidence and current reviewed memory. Optional local model profiles select explicitly configured CPU embedding and reranking; leave the reranker unset for a project holding one conversation's sessions, where it did not raise held-out recall and took about 20 s per question. Continue incomplete sources before making decisions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoauto
needsNo
shownNosource spans already in your context; covered hits return as references
includeNosearch only sources whose id starts with one of these prefixes: file: for the project's files, file:docs/ for a folder, connector:<id>: for one connector's documents
questionYes
max_charsNo
max_tokensNo
pack_orderNochronological presents the selected excerpts by date, with markers where a source's text between two excerpts is not shown; selection stays by rank
skip_shownNoanswer excerpts this connection already returned with one-line references and spend their budget on further hits
reading_guidanceNoadd guidance on weighing what users said against what assistants suggested
local_reranker_profileNo
local_embedding_profileNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful behavioral context beyond that: the reranker takes about 20 s per question and did not improve held-out recall, and covered hits return as references. It omits auth/prerequisite and return-shape details.

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

Conciseness3/5

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

Purpose is front-loaded, which is good, but the middle sentence is dense and the trailing 'Continue incomplete sources before making decisions' is vague and low-value. It is not padded, but not every sentence earns its place equally.

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 12-parameter retrieval tool with no output schema and 42% schema coverage, the description leaves significant gaps: several parameters (mode, needs) are undefined and the return/selection behavior is only glancingly described. Given the complexity, more disclosure is warranted.

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 coverage is only 42% across 12 parameters, so the description must compensate but only partly does. It explains local_reranker_profile/local_embedding_profile behavior, but leaves unexplained parameters like mode (the defaulted 'auto') and needs, which an agent cannot interpret from the bare schema.

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 names a concrete verb ('Find') and two resources ('original source evidence' and 'current reviewed memory'), so an agent knows this is a retrieval tool. It does not, however, distinguish itself from overlapping siblings such as search_project_memory or project_memory, leaving the boundary to be inferred.

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?

It gives one narrow piece of usage guidance (leave the reranker unset for a single-conversation project) and a vague directive ('Continue incomplete sources before making decisions'). It never states when to prefer this over search_project_memory, read_project_source, or project_memory, so the when-to-use logic is only implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.