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memory_search

Read-only

Search across your stored memories under your authenticated Bearer key (agent_id is accepted but not currently used to partition storage — see memory_store's note). Returns matching keys + snippets. Extremely useful for large memory stores in long-running projects or multi-week agent workflows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results to return
queryYesSearch string (simple contains match on keys + values)
agent_idYesAccepted but not currently used to partition storage — memory is namespaced by your Bearer key.

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false. The description adds valuable behavioral details: search is scoped to the authenticated Bearer key, agent_id is accepted but not used for partitioning, and the return format is keys + snippets. It also defers to memory_store's note for further partitioning context, which is transparent without over-explaining.

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 two sentences, front-loaded with the core function, and every sentence earns its place. It includes the scope, an important caveat, and a use-case justification without any fluff.

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

Completeness4/5

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

There is no output schema, so the description covers the return value adequately with 'keys + snippets.' The schema handles parameter details, annotations cover safety, and the description adds usage context. It lacks details on result ordering or pagination, but for a simple search tool this is reasonably complete.

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?

The input schema has 100% coverage with descriptions for all three parameters, so the baseline is 3. The description slightly reinforces the agent_id caveat (already in schema) and mentions the return format, but it does not add new semantic meaning beyond what the schema already provides.

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 performs a search across stored memories and returns matching keys and snippets. However, it does not explicitly distinguish itself from the sibling memory_get, memory_list, or memory_store tools beyond the obvious 'search' verb, so it lacks explicit sibling differentiation.

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?

The description gives a clear usage context: 'Extremely useful for large memory stores in long-running projects or multi-week agent workflows.' It does not mention when not to use it or name alternative memory tools, so it falls short of the explicit exclusions/alternatives criterion but provides solid contextual guidance.

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

A3.6/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but there is potential confusion between 'decision' and 'reason', both offering advisory output. Also, 'review', 'witness', 'prove', and 'verify_proof' overlap in the proofs space, though descriptions differentiate them. Overall, an agent can disambiguate with careful reading.

Naming Consistency4/5

All tool names use lowercase and underscores (snake_case), which is consistent. However, the verbs vary: some are imperative (e.g., 'browse', 'execute'), while others are nouns (e.g., 'signals', 'ledger'), breaking a strict verb_noun pattern. Overall, the naming is readable and mostly predictable.

Tool Count2/5

With 30 tools, the surface is too large for a well-scoped server. Many functions could be separated (e.g., memory, workspace, feedback, marketplace). This excess makes it harder for an agent to navigate and select the right tool quickly.

Completeness3/5

The tool set covers core CRUD for memory and workspace, plus feedback, marketplace purchase, bounties, and verification. However, there is no tool to list or search marketplace listings, and workspace creation is only implicit via 'execute'. These gaps hinder fluid workflows.