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Read Entries

read_entries
Read-only

Read a log document's entries in seq order after after_seq.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "doc_key": "<doc_key>"
    },
    "name": "read_entries"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNo
doc_keyYes
after_seqNo
namespaceNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds genuine context beyond that: results are ordered by seq and the read starts after the given cursor. It says nothing about pagination/tail behavior, the default 100 / max 500 limit, or what an omitted after_seq means.

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?

A single front-loaded sentence with no filler, and the ordering and cursor constraint appear before any subordinate detail. It is efficient, though the doubled 'after after_seq' phrasing is slightly awkward and brevity here edges toward under-specification.

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?

An output schema exists, so return shape needn't be explained, but with four parameters at 0% schema coverage and no pagination or namespace semantics, an agent cannot reliably page through a log or predict result scope. The description does too little for a tool with this much undocumented surface.

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 0%, so the description carries the full burden, yet it only clarifies after_seq as an exclusive cursor. doc_key, limit, and namespace are left entirely undefined by both schema and text — notably namespace, whose scoping effect is critical to what entries come back.

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 and resource ('Read a log document's entries') plus ordering and cursor semantics ('in seq order after after_seq'), which distinguishes it from append_entries and list_documents. It does not explicitly name a sibling, but the read/append split is obvious from the verb.

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?

No when-to-use guidance, no alternatives, no prerequisites. It never says how to obtain a valid doc_key or that append_entries is the write counterpart, leaving the agent to infer usage from the name alone.

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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