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Glama

read_from_clipboard

Retrieves the current contents of the macOS system clipboard so AI hosts can access copied text or data without manual pasting.

Instructions

Read the current contents of the macOS system clipboard

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv8.0.4

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. 'Read' implies a non-mutating operation and the macOS scoping hints at platform requirements, but there is no disclosure of permission/accessibility requirements, behavior in headless or SSH contexts, or what happens when the clipboard is empty or holds non-text data.

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 no filler; every word earns its place and the resource and platform are stated up front.

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?

For a trivial zero-param read, the description covers what it does but not what comes back. With no output schema, the agent cannot tell whether the result is plain text, an image, or an empty/null value, nor how failure is signaled.

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?

With zero parameters and 100% schema coverage there is nothing to document, so the baseline of 4 applies. The description adds no parameter-level detail because none is needed.

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 (read) plus the exact resource (macOS system clipboard), which is unambiguous. It does not name the sibling copy_to_clipboard as its inverse, but the pairing is self-evident from the names.

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

Usage Guidelines3/5

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

Usage is only implied: an agent infers it should call this when it needs clipboard contents and use copy_to_clipboard to write. There is no explicit when-to-use statement, no exclusion, and no mention of prerequisites.

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