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Glama

Mark Notifications Read

mark_notifications_read
Destructive

Marks all LinkedIn notifications as read, with a dry-run option to locate the control without clicking.

Instructions

Mark all LinkedIn notifications as read.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dry_runNoWhen True, locate the control but do not click.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv4.26.2

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true and openWorldHint=true, so the agent knows this mutates state on an external site. The description's 'all' conveys the bulk scope, which the annotations do not, but it doesn't disclose whether the change is reversible, whether it requires a live session, or how dry_run affects behavior beyond the schema.

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 zero filler. It is appropriately sized for a one-parameter tool, though it is so terse that it could have absorbed a clause of usage or safety context without bloat.

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 described, and annotations cover the destructive/open-world profile. However, for a bulk state-changing tool, the description omits any note about irreversibility or session prerequisites, leaving a gap an agent would care about.

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% and the single optional dry_run parameter is fully documented in the schema itself. The description adds no additional parameter meaning, so the baseline of 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 ('Mark') and resource ('LinkedIn notifications') with scope qualifier 'all', so the operation is unambiguous. It does not explicitly differentiate from the sibling get_notifications, but the write-oriented verb makes the distinction inferable.

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 indication of when to use this versus get_notifications, no prerequisites (e.g., authentication or session requirements), and no note on when marking-as-read is appropriate. The agent must infer all of that 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.