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GleanMark Trademark Search

Correspondent Specialization

get_correspondent_specialization
Read-only

Summarize what a named correspondent specializes in, including top clients, top Nice classes, and prosecution-versus-TTAB profile. Use this when the user asks what a specific correspondent or attorney specializes in.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
url_keyNoKnown correspondent url_key, if already resolved.
search_termNoCorrespondent or attorney name to resolve.
top_class_limitNoMaximum top Nice classes to return.
top_client_limitNoMaximum top clients to return.
correspondent_nameNoAlias for search_term.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
foundYes
summaryYes
url_keyYes
headlineYes
firm_nameNo
ttab_profileYes
primary_emailNo
firm_detail_urlNo
practice_profileYes
correspondent_nameYes
prosecution_profileYes
correspondent_detail_urlNo

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safe read-only nature is covered. The description adds useful behavioral context about the output (top clients, Nice classes, prosecution/TTAB profile) but does not disclose potential resolution behaviors or edge cases. It contributes some value beyond annotations without contradicting them.

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?

The description is a single sentence that front-loads the main action and then adds usage guidance. No wasted words; every clause earns its place. It is highly concise while remaining informative.

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

Completeness4/5

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

This is a read-only summarization tool with a rich output schema and full parameter documentation. The description explains the tool's purpose, when to use it, and key output elements, which is sufficient for an agent to select and invoke it. It does not describe return format, but the output schema compensates for that.

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 coverage is 100%, with all five parameters described. The description does not add extra meaning beyond the schema, so the baseline score of 3 applies. It does not explain how parameters interact (e.g., url_key vs search_term priority), but the schema descriptions already cover each parameter individually.

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?

The description clearly states the tool summarizes what a named correspondent specializes in, with specific output components (top clients, Nice classes, prosecution vs. TTAB profile). This distinct 'specialization' focus differentiates it from sibling tools like get_correspondent_marks or get_firm_top_correspondents.

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

Usage Guidelines4/5

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

The description explicitly says to use this tool when the user asks what a specific correspondent or attorney specializes in. It provides clear contextual guidance, though it does not mention alternatives or exclusion cases, so it earns a 4 rather than a 5.

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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TDQS

B3.4/5.0
Disambiguation3/5

Most tools have clearly defined scopes, but several search/count tools overlap (search_trademarks, phonetic_search, run_knockout_search, get_similar_marks) and owner/firm analytics tools have similar boundaries. Descriptions help differentiate them, but the large set increases the chance of misselection.

Naming Consistency5/5

All tool names follow a consistent lowercase snake_case verb_noun pattern (get_, search_, run_, analyze_, etc.). The only minor deviation is web_research, which is noun_verb, but it remains perfectly readable and consistent with the overall style.

Tool Count1/5

61 tools is extreme for any server, far exceeding the 50+ threshold. Even for a comprehensive trademark platform, this number overwhelms agents with selection complexity and makes the toolset difficult to navigate.

Completeness2/5

Several tools launch asynchronous processes and instruct users to call status tools (get_prosecution_history_status, get_ttab_proceeding_analysis_status, get_office_action_research_status) that are not present in the toolset. Additionally, search_trademarks and phonetic_search reference list_marks_containing_term, which is also missing. These critical gaps cause agent failures when following the described workflows.

Resources