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search_clipboard

Search your synced clipboard history by keyword, tag, or type to retrieve matching paste items. Use filters to narrow results and get up to 100 entries.

Instructions

Search clipboard history. Returns a list of paste items matching the query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagNoFilter by tag name (e.g. 'Favorite')
typeNoFilter by paste type: text, link, image, rtf, html, color, file
limitNoMaximum number of results (default: 20, max: 100)
queryNoSearch keywords (optional, empty returns recent items)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv2.2.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only restates the search action and result type; it does not mention read-only behavior, default limits, sorting, or empty-query behavior. The schema covers some parameter behavior, but the description itself adds little beyond the name.

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?

The description is two short sentences with no filler and the core action is front-loaded. However, the second sentence largely restates the first, adding only the return type.

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?

With no output schema, no annotations, and overlapping sibling tools, the description omits usage distinctions and behavioral details needed for confident tool selection. The parameter schema helps, but the description alone is not sufficient to know when this tool should be preferred over alternatives.

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 the schema already documents all four parameters. The description only generically references 'the query' and adds no parameter-specific meaning, so the baseline score of 3 is appropriate.

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?

The description clearly identifies the verb (search), the resource (clipboard history), and the return type (list of paste items). It is distinguishable from siblings like get_paste_item and add_to_clipboard by implication, though it does not explicitly name alternatives.

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?

There is no guidance on when to use this tool versus get_paste_item, list_tags, or add_to_clipboard. It also does not mention that query is optional or that an empty query returns recent items; usage context is only implied by the tool name.

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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