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Mark today's lesson read

mark_lesson_read
Idempotent

Mark the daily lesson card YOU were served as read (requires api:account). Pass the card's served_on (YYYY-MM-DD) and slug exactly as get_lesson view=daily returned them; the write targets that card or nothing, and a slug that no longer matches the date answers 409 card_changed. Recorded as a card read (the same as the card's mark-read control in the app). Idempotent: marking a read card again keeps the first read.

Input Schema

NameRequiredDescriptionDefault
slugYescard.slug from get_lesson view=daily
served_onYesserved_on from get_lesson view=daily

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already cover the safety profile (readOnlyHint=false, destructiveHint=false, idempotentHint=true). The description goes well beyond: it discloses the required scope, the 409 card_changed failure mode when slug and date no longer match, and the precise idempotency semantics ('keeps the first read').

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 dense paragraph with no wasted sentences; the constraint and error behavior are front-loaded. It is slightly run-on, but every clause (scope, source, error case, idempotency) carries actionable information.

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

Completeness5/5

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

For a 2-parameter mutation with no output schema, the description covers inputs, input provenance, auth scope, failure mode, and idempotency — everything an agent needs to invoke it correctly without guessing.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3, but the description adds real meaning: exact-match requirement against get_lesson output, the YYYY-MM-DD format for served_on, and the cross-parameter coupling where a stale slug for the date yields 409 card_changed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('mark the daily lesson card YOU were served as read') with explicit scope (only today's served card). Clearly differentiated from the read-side sibling get_lesson view=daily, which it names as the source of inputs.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tells the agent exactly where the parameters come from ('as get_lesson view=daily returned them'), and excludes other uses by stating 'the write targets that card or nothing.' The api:account prerequisite is stated up front.

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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