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Export Entries

export_entries
Read-onlyIdempotent

Exports journal entries to JSON or Markdown, with optional filters for dates, tags, entry types, workspace, and project. Use it to back up, share, or analyze project memory.

Instructions

Export journal entries to JSON or Markdown format

Input Schema

NameRequiredDescriptionDefault
tagsNo
limitNoMaximum entries to export (default: 100)
formatNoExport format (json or markdown). Anti-Hallucination Hint: Do NOT use type, use format.json
end_dateNo
start_dateNo
entry_typesNo
workspace_idNoOptional workspace isolation identifier (e.g. "alpha"). Do not use numeric project IDs or "workspace" as the key.
project_numberNo

Output Schema

NameRequiredDescriptionDefault
codeNoError code (e.g. VALIDATION_ERROR, INTERNAL_ERROR)
countNo
errorNoHuman-readable error message
formatNo
contentNo
detailsNoAdditional error context
entriesNo
successNo
categoryNoError category (validation, query, connection, internal)
truncatedNoTrue if the results were truncated to fit within payload limits
suggestionNoSuggested fix for the error
recoverableNoWhether the error is recoverable
aggregated_errorsNoDetails of individual errors in a multi-step operation

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv9.0.0

TDQS

B3/5.0
Behavior3/5

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

The annotations already declare this as read-only, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds the supported formats but does not describe data scope, filtering behavior, authorization needs, or whether export returns content versus a file.

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 front-loaded sentence with no filler. It is concise and wastes no words, even though it is under-informative for the tool's full parameter surface.

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?

Although an output schema exists and reduces the need to explain return values, the tool has 8 optional filtering parameters and low schema coverage. The description covers only output formats and leaves the agent without guidance on the remaining filters and export scope.

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

Parameters2/5

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

Schema description coverage is only 38% across 8 parameters. The description only mentions the format choice and does not compensate for undocumented parameters such as tags, start_date, end_date, entry_types, limit, workspace_id, or project_number.

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 states a specific verb and resource: export journal entries. It also names the supported output formats, but it does not distinguish this tool from close siblings such as export_markdown or team_export_entries.

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?

There is no explicit guidance on when to use this tool versus export_markdown, backup_journal, or search_entries. The export verb implies usage, but the description provides no alternatives, exclusions, or prerequisites.

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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