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OktoLabsAI

okto-nexus

by OktoLabsAI

shared_md_render

Render a per-workspace human-readable shared.md timeline with recent events and atomically overwrite it, giving agents a clear workspace activity record.

Instructions

Render the per-workspace human-readable shared.md (atomic overwrite).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idNoYour agent_id for permission evaluation in open stdio mode (optional; authenticated HTTP MCP uses the API-key identity).
limit_eventsNoHow many of the most recent events to include in the rendered timeline (optional; default: 50, clamped to the configured maximum).
workspace_idYesThe target workspace_id (from workspace_resolve) whose shared.md is rendered. REQUIRED - NB: this tool takes the workspace_id directly, not project_root.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.10

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden, and it does disclose one important trait: the write is an atomic overwrite. That is genuinely useful mutation context, but permissions, failure modes, and what happens to prior content beyond 'overwrite' are unstated.

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?

A single front-loaded sentence with the key constraint (atomic overwrite) in a parenthetical. No filler, nothing to trim.

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

Completeness3/5

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

An output schema exists so return values need not be explained, and the schema fully documents parameters. But for a mutation tool with no annotations, the description should say more about permission requirements, overwrite consequences, and when this is the right tool over its siblings.

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 workspace_id, agent_id, and limit_events are already fully documented in the schema, including the note to use workspace_id rather than project_root. The description adds no parameter detail beyond that, so the 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 (render) and resource (per-workspace shared.md), which is enough to distinguish it from siblings like workspace_resolve or artifact_put. However, it doesn't clarify what rendering produces or how it relates to other workspace tools.

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 prerequisites, and no mention of alternatives such as artifact_put or whichever tool creates shared.md in the first place. The agent must infer usage entirely.

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